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【影视】 [FreeCourseSite.com] Udemy - Deep Learning with PyTorch for Medical Image Analysis

收录时间:2022-01-14 文档个数:89 文档大小:3.9 GB 最近下载:2025-05-16 人气:1410 磁力链接

8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
9. Cardiac-Detection/2. 02-Preprocessing.mp4 70.1 MB
4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
10. Atrium-Segmentation/6. UNet.mp4 67.6 MB
10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 66.5 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch

收录时间:2024-02-01 文档个数:3098 文档大小:3.8 GB 最近下载:2025-05-15 人气:6940 磁力链接

~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/1. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 208.6 MB
~Get Your Files Here !/23. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/1. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 187.5 MB
~Get Your Files Here !/18. Detectron2 for Ojbect Detection/1. Detectron2 for Ojbect Detection with PyTorch.mp4 173.4 MB
~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/3. Data Loading with PyTorch Customized Dataset Class.mp4 167.4 MB
~Get Your Files Here !/19. Training, Evaluating and Visualizing Object Detection on Custom Dataset/3. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 162.4 MB
~Get Your Files Here !/8. Semantic Segmentation Task Of Computer Vision/2. Semantic Segmentation Real-World Applications.mp4 153.6 MB
~Get Your Files Here !/18. Detectron2 for Ojbect Detection/2. Perform Object Detection using Detectron2 Pretrained Models.mp4 144.2 MB
~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/1. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 122.1 MB
~Get Your Files Here !/2. What is Computer Vision & its Applications/1. Introduction to Computer Vision and its Real-world Applications.mp4 117.9 MB
~Get Your Files Here !/19. Training, Evaluating and Visualizing Object Detection on Custom Dataset/1. Custom Dataset for Object Detection.mp4 108.0 MB
~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/3. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 102.6 MB
~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/5. Training of Segmentation Models.mp4 80.1 MB
~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/3. Decoders for Segmentation in PyTorch Liberary.mp4 77.4 MB
~Get Your Files Here !/11. Performance Metrics (IOU) For Segmentation Models Evaluation/1. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).mp4 74.7 MB
~Get Your Files Here !/7. Transfer Learning for Image Classification/4. FineTuning Deep ResNet Model.mp4 73.2 MB
~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/5. Data Augmentation using Albumentations with Different Transformations.mp4 71.4 MB
~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/5. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.mp4 64.7 MB
~Get Your Files Here !/17. Deep Learning Architectures for Object Detection (R-CNN Family)/2. RCNN Deep Learning Architectures for Object Detection.mp4 62.7 MB
~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/2. Data Annotations Tool for Semantic Segmentation.mp4 62.3 MB
~Get Your Files Here !/16. Object Detection Task Of Computer Vision/1. Object Detection and its Applications.mp4 61.6 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Generative A.I., from GANs to CLIP, with Python and Pytorch

收录时间:2022-04-09 文档个数:153 文档大小:3.1 GB 最近下载:2025-05-16 人气:2859 磁力链接

~Get Your Files Here !/01 The generative revolution/007 Navigating latent spaces.mp4 111.7 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/008 Coding_ Understanding convolutions.mp4 109.5 MB
~Get Your Files Here !/02 Coding a basic generative architecture/003 Understanding Cross Entropy in depth.mp4 100.4 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/013 Coding_ running the training.mp4 97.5 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/015 Coding_ creating a video of the interpolations and general review.mp4 93.6 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/013 Coding_ Declaring dataset, dataloader and optimizers.mp4 89.2 MB
~Get Your Files Here !/01 The generative revolution/006 Latent spaces and representation learning.mp4 88.9 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/009 Coding_ The generator class.mp4 87.4 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/002 Multimodal generation, an incredible adventure.mp4 86.6 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/008 Coding_ encode the text prompts through CLIP.mp4 68.2 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/024 Coding_ morphing between points in latent space.mp4 68.2 MB
~Get Your Files Here !/01 The generative revolution/009 Benefits and possibilities of Generative A.I.mp4 67.8 MB
~Get Your Files Here !/01 The generative revolution/008 GANS_ Generative Adversarial Networks.mp4 67.4 MB
~Get Your Files Here !/03 Coding an advanced generative architecture/018 Coding_ stats and fixing issues.mp4 64.9 MB
~Get Your Files Here !/01 The generative revolution/004 The present and future of A.I is generative.mp4 63.7 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/017 Coding_ Davinci Sfumato_ Tweaking the code to create a new kind of texture.mp4 62.2 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/006 Coding_ Setting up the Generative transformer model.mp4 60.6 MB
~Get Your Files Here !/04 Generating images from text by combining two advanced architectures/018 Coding_ Davinci Sfumato_ reflecting about the process.mp4 59.3 MB
~Get Your Files Here !/02 Coding a basic generative architecture/007 Coding_ importing libraries and declaring a visualization function.mp4 59.0 MB
~Get Your Files Here !/01 The generative revolution/003 The generative revolution_ coming home.mp4 58.7 MB

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【影视】 Modern Reinforcement Learning- Deep Q Learning in PyTorch

收录时间:2021-04-10 文档个数:87 文档大小:2.5 GB 最近下载:2025-05-16 人气:2818 磁力链接

Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/037 Implementing a Command Line Interface for Rapid Model Testing.mp4 59.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/017 How to Read Deep Learning Papers.mp4 52.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/006 Value Functions Action Value Functions and the Bellman Equation.mp4 49.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 48.0 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Introduction to Generative Adversarial Networks with PyTorch

收录时间:2022-01-09 文档个数:116 文档大小:2.5 GB 最近下载:2025-05-16 人气:3212 磁力链接

~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.mp4 323.0 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.mp4 271.2 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.mp4 233.9 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.mp4 159.2 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.mp4 134.1 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.mp4 129.2 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.mp4 126.4 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.mp4 125.7 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.mp4 118.4 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.mp4 102.6 MB
~Get Your Files Here !/1. Course Agenda/1. Course Agenda.mp4 96.0 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.mp4 93.9 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.mp4 80.2 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.mp4 73.7 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.mp4 70.3 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.mp4 67.0 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.mp4 44.0 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.mp4 35.5 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.mp4 32.5 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.mp4 32.2 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Fundamentals of Deep Learning - Core Concepts and PyTorch

收录时间:2024-02-16 文档个数:152 文档大小:2.5 GB 最近下载:2025-05-14 人气:3363 磁力链接

~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 124.2 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 115.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/7. Train an MNIST model using PyTorch's nn module II.mp4 107.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/4. Train an MNIST model from scratch in plain PyTorch III.mp4 107.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 105.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/3. Train an MNIST model from scratch in plain PyTorch II.mp4 101.0 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/2. Train an MNIST model from scratch in plain PyTorch I.mp4 100.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/6. Train an MNIST model using PyTorch's nn module I.mp4 89.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.mp4 87.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11. Computational graph IV - backward pass III.mp4 86.8 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/5. Train an MNIST model from scratch in plain PyTorch IV.mp4 79.3 MB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 75.5 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10. Computational graph III - backward pass II.mp4 66.6 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.mp4 50.4 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12. Forward and backward pass recap and wrap up.mp4 48.2 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 47.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 46.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5. Calculus detour - partial derivatives and gradient descent.mp4 44.2 MB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 41.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 40.2 MB

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【影视】 [ FreeCourseWeb.com ] Pytorch - Advanced Deep Learning (Computer Vision, DataAug)

收录时间:2022-04-09 文档个数:128 文档大小:1.5 GB 最近下载:2025-05-15 人气:2841 磁力链接

~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).mp4 123.5 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).mp4 60.4 MB
~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).mp4 57.2 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).mp4 56.5 MB
~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).mp4 55.8 MB
~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.mp4 47.1 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).mp4 47.0 MB
~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).mp4 42.2 MB
~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4 41.2 MB
~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.mp4 36.4 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4 34.1 MB
~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).mp4 34.0 MB
~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).mp4 34.0 MB
~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.mp4 32.5 MB
~Get Your Files Here !/01 Introduction/003 Applications.mp4 31.9 MB
~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.mp4 31.7 MB
~Get Your Files Here !/10 PEARL/004 PEARL Results.mp4 31.7 MB
~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.mp4 31.6 MB
~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.mp4 30.2 MB
~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).mp4 30.0 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] PyTorch Deep Learning in 7 Days [FCO]

收录时间:2021-03-11 文档个数:47 文档大小:1.4 GB 最近下载:2025-05-15 人气:3404 磁力链接

02.Building a Neural Network/0205.Building a Network with nn.Module.mp4 143.9 MB
01.Getting started with PyTorch/0104.Tensors and Basic Tensor Operations.mp4 135.4 MB
03.Regression and Classification/0304.Loading Structured Data for Regression.mp4 112.3 MB
03.Regression and Classification/0301.Loading Structured Data for Classification.mp4 102.1 MB
02.Building a Neural Network/0202.Creating a Neural Network with PyTorch Sequential.mp4 84.3 MB
03.Regression and Classification/0302.Preprocessing Data.mp4 84.1 MB
03.Regression and Classification/0305.Neural Networks for Regression.mp4 78.6 MB
02.Building a Neural Network/0203.Activations, Loss Functions, and Gradients.mp4 77.3 MB
02.Building a Neural Network/0204.Forward and Backward Passes.mp4 73.1 MB
07.Deep Convolutional Generative Adversarial Networks/0704.Improving Performance.mp4 39.8 MB
07.Deep Convolutional Generative Adversarial Networks/0703.Training and Evaluating DCGAN on an Image Dataset.mp4 34.6 MB
01.Getting started with PyTorch/0102.Quick Intro to PyTorch.mp4 33.3 MB
01.Getting started with PyTorch/0105.Advanced Tensor Operations.mp4 28.0 MB
06.LSTM and Embedding for Natural Language Models/0604.Sentiment Analysis with Word Embeddings.mp4 27.0 MB
05.Implementing Transfer Learning/0504.Transfer Learning with ResNet.mp4 25.6 MB
01.Getting started with PyTorch/0101.The Course overview.mp4 24.7 MB
03.Regression and Classification/0303.Classification, Accuracy, and the Confusion Matrix.mp4 19.2 MB
07.Deep Convolutional Generative Adversarial Networks/0701.Introduction to GANs and DCGANs.mp4 19.2 MB
07.Deep Convolutional Generative Adversarial Networks/0705.Assignment.mp4 19.1 MB
06.LSTM and Embedding for Natural Language Models/0603.Sentiment Analysis with Bag-of-Words.mp4 16.8 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning with Tensorflow and Pytorch (Tutorial Ongoing)

收录时间:2024-09-01 文档个数:26 文档大小:1.3 GB 最近下载:2025-05-15 人气:1115 磁力链接

~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB

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【影视】 [FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]

收录时间:2021-03-09 文档个数:869 文档大小:1.2 GB 最近下载:2025-05-13 人气:1735 磁力链接

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/01. Origins Of PyTorch V2-0eLXNFv6aT8.mp4 31.5 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.mp4 30.9 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp4 24.0 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4 22.3 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/03. From Research To Production-eCysOAw8azs.mp4 21.8 MB
Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.mp4 20.8 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4 19.7 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4 19.4 MB
Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.mp4 19.2 MB
Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp4 18.6 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4 17.5 MB
Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4 17.2 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp4 16.6 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4 16.6 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.mp4 16.6 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/06. User Needs And Adding Features-7HH65_c7Acw.mp4 16.5 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4 16.4 MB
Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4 16.2 MB
Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.mp4 15.9 MB
Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/08. The Future Of PyTorch-vfCg3FoOjE4.mp4 15.2 MB

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01 Introduction/001 Introduction.mp4 11.9 MB
01 Introduction/001 Introduction-subtitle-en.vtt 6.4 kB
01 Introduction/links-to-visit.txt 92 Bytes
02 Software Requirements/002 CPU Software Requirements.mp4 7.7 MB
02 Software Requirements/002 CPU Software Requirements-subtitle-en.vtt 3.2 kB
02 Software Requirements/003 CPU Installation of PyTorch.mp4 5.0 MB
02 Software Requirements/003 CPU Installation of PyTorch-subtitle-en.vtt 2.3 kB
02 Software Requirements/004 PyTorch with GPU on AWS.mp4 25.3 MB
02 Software Requirements/004 PyTorch with GPU on AWS-subtitle-en.vtt 10.5 kB
02 Software Requirements/005 PyTorch with GPU on Linux.mp4 12.1 MB
02 Software Requirements/005 PyTorch with GPU on Linux-subtitle-en.vtt 4.8 kB
02 Software Requirements/006 PyTorch with GPU on MacOSX.mp4 13.0 MB
02 Software Requirements/006 PyTorch with GPU on MacOSX-subtitle-en.vtt 5.3 kB
02 Software Requirements/links-to-visit.txt 370 Bytes
03 PyTorch Fundamentals_ Matrices/007 Matrix Basics.mp4 7.2 MB
03 PyTorch Fundamentals_ Matrices/007 Matrix Basics-subtitle-en.vtt 3.7 kB
03 PyTorch Fundamentals_ Matrices/008 Seed for Reproducibility.mp4 8.9 MB
03 PyTorch Fundamentals_ Matrices/008 Seed for Reproducibility-subtitle-en.vtt 4.4 kB
03 PyTorch Fundamentals_ Matrices/009 Torch to NumPy Bridge.mp4 14.1 MB
03 PyTorch Fundamentals_ Matrices/009 Torch to NumPy Bridge-subtitle-en.vtt 6.2 kB

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Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.mp4 418.6 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.mp4 413.6 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.mp4 24.0 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/4. Tensors and Gradients.mp4 16.3 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/6. Compute gradients automatically.mp4 15.2 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/7. Gradient Descent.mp4 14.2 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/2. Anaconda Installation.mp4 13.0 MB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/2. Downloading Data from Kaggle.mp4 10.9 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/5. Numpy and PyTorch interoperability.mp4 10.8 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/3. Starting Jupyter & Creating Notebooks.mp4 10.0 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/8. Train multiple epochs.mp4 9.1 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/4. Define model & generate predictions.mp4 8.1 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/5. Loss Function.mp4 6.9 MB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/1. Introduction to Kaggle.mp4 6.0 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/3. Initialize Weights and Biases.mp4 5.7 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/2. Training Data as Matrices.mp4 4.7 MB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/1. Introduction to Linear Regression.mp4 4.0 MB
Introduction to PyTorch and Machine Learning/1. PyTorch Basics & Linear Regression/1. Linear Regression with PyTorch.vtt 66.0 kB
Introduction to PyTorch and Machine Learning/3. Working with Real World Data/3. Essential Python Recipes for Deep Learning.vtt 51.3 kB
Introduction to PyTorch and Machine Learning/2. Linear Regression with PyTorch/9. Recap Linear Regression.vtt 2.3 kB

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5. Градиентный спуск вручную.mp4 268.3 MB
7. Пакетное обучение.mp4 220.4 MB
6. Пайплайн.mp4 181.9 MB
3. Градиент.mp4 181.6 MB
2. Тензор.mp4 27.0 MB
1. Установка, проверка фреймворка.mp4 16.2 MB
4. Обратное распространение ошибки.mp4 11.8 MB
Доп Ускоренный курс PyTorch/tensor.ipynb 22.1 kB
Доп Ускоренный курс PyTorch/wine.csv 11.2 kB
Доп Ускоренный курс PyTorch/batch-learning.ipynb 5.9 kB
Доп Ускоренный курс PyTorch/gradient.ipynb 5.9 kB
Доп Ускоренный курс PyTorch/gradient-descent-manual.ipynb 5.4 kB
Доп Ускоренный курс PyTorch/gradient-descent-automatic.ipynb 4.5 kB
Доп Ускоренный курс PyTorch/pipeline.ipynb 3.0 kB
Доп Ускоренный курс PyTorch/installation.ipynb 1.5 kB
Доп Ускоренный курс PyTorch/Ссылка.txt 42 Bytes

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5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/19.Building and Training Style Transfer Model.mp4 72.6 MB
1.First Stop - A Quick Introduction to PyTorch/02.What Makes PyTorch Special.mp4 3.4 MB
1.First Stop - A Quick Introduction to PyTorch/03.Installing PyTorch.mp4 5.5 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/04.Problem - Detect a Specific Type of Object in an Image.mp4 4.2 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/05.Quick Win - Using a Pretrained AlexNet Model for Beaver Detection.mp4 58.4 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/06.Getting and Preparing Image Data.mp4 29.3 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/07.Building, Training, and Testing Your Model.mp4 46.3 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/08.Using Your Model to Detect Beavers and What’s Next.mp4 36.3 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/09.Problem - Recognize the Language of a Specific Text.mp4 3.3 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/10.Understanding and Preparing Language Data.mp4 29.1 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/11.Building, Training, and Testing Your Model for Language Detection.mp4 56.2 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/12.Using Your Model to Detect Languages and What’s Next.mp4 20.8 MB
4.Making Friends - Lost in Translation with LSTM/13.Problem - Translate a Specific Text from One Language to Another.mp4 4.2 MB
4.Making Friends - Lost in Translation with LSTM/14.Understanding and Preparing Dataset for Language Translation.mp4 36.4 MB
4.Making Friends - Lost in Translation with LSTM/15.Building, Training, and Testing Your Models for Language Translation.mp4 67.5 MB
4.Making Friends - Lost in Translation with LSTM/16.Using Your Models for Language Translation.mp4 18.8 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/17.Problem - Extract Key Style Features from One Image and Use It on Another One.mp4 4.5 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/18.Preparing Images for Style Transfer.mp4 24.7 MB
1.First Stop - A Quick Introduction to PyTorch/01.The Course Overview.mp4 12.2 MB
Exercise Files/code_35298.zip 162 Bytes

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5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/19.Building and Training Style Transfer Model.mp4 72.6 MB
4.Making Friends - Lost in Translation with LSTM/15.Building, Training, and Testing Your Models for Language Translation.mp4 67.5 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/05.Quick Win - Using a Pretrained AlexNet Model for Beaver Detection.mp4 58.4 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/11.Building, Training, and Testing Your Model for Language Detection.mp4 56.2 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/07.Building, Training, and Testing Your Model.mp4 46.3 MB
4.Making Friends - Lost in Translation with LSTM/14.Understanding and Preparing Dataset for Language Translation.mp4 36.4 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/08.Using Your Model to Detect Beavers and What’s Next.mp4 36.3 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/06.Getting and Preparing Image Data.mp4 29.3 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/10.Understanding and Preparing Language Data.mp4 29.1 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/18.Preparing Images for Style Transfer.mp4 24.7 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/12.Using Your Model to Detect Languages and What’s Next.mp4 20.8 MB
4.Making Friends - Lost in Translation with LSTM/16.Using Your Models for Language Translation.mp4 18.8 MB
1.First Stop - A Quick Introduction to PyTorch/01.The Course Overview.mp4 12.2 MB
1.First Stop - A Quick Introduction to PyTorch/03.Installing PyTorch.mp4 5.5 MB
5.Getting Some Culture - Becoming a Deep Neural Picasso with DNN/17.Problem - Extract Key Style Features from One Image and Use It on Another One.mp4 4.5 MB
4.Making Friends - Lost in Translation with LSTM/13.Problem - Translate a Specific Text from One Language to Another.mp4 4.2 MB
2.Sleeping Under the Stars - It's a Bird...It's a Plane...It’s a CNN/04.Problem - Detect a Specific Type of Object in an Image.mp4 4.2 MB
1.First Stop - A Quick Introduction to PyTorch/02.What Makes PyTorch Special.mp4 3.4 MB
3.Going Abroad - Language Detection for Fun and Profit with RNN/09.Problem - Recognize the Language of a Specific Text.mp4 3.3 MB
Exercise Files/code_35298.zip 162 Bytes

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~Get Your Files Here !/5. Object Detecting and tracking/3. Automatic Number Plate Detection and Recognition.mp4 53.7 MB
~Get Your Files Here !/3. Image Similarity Calculation/1. Image Similarity Calculation Code Implementation.mp4 47.8 MB
~Get Your Files Here !/5. Object Detecting and tracking/4. Face Detection using harcaschade.mp4 43.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/4. Customize Shape Drawing fillConvexPoly, fillPoly.mp4 40.3 MB
~Get Your Files Here !/4. Morphological image processing/1. Erosion and Dilation of images.mp4 37.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/1. Drawing With OpenCV.mp4 31.4 MB
~Get Your Files Here !/1. Introduction/5. ReadFeedFromVideo.mp4 22.7 MB
~Get Your Files Here !/5. Object Detecting and tracking/1. Find and Determine the shape of object using Contours in OpenCV.mp4 22.1 MB
~Get Your Files Here !/1. Introduction/4. Read Feed From Camara.mp4 21.0 MB
~Get Your Files Here !/5. Object Detecting and tracking/2. Image Masking.mp4 20.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/2. ImageTranslation.mp4 19.0 MB
~Get Your Files Here !/1. Introduction/1. What is an Image.mp4 18.6 MB
~Get Your Files Here !/1. Introduction/3. Converting Image to GayImage.mp4 15.5 MB
~Get Your Files Here !/1. Introduction/2. Reading an Image.mp4 10.2 MB
~Get Your Files Here !/2. Basic Image Processing Operations/3. ImageRotation.mp4 10.0 MB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_frontalface_alt_tree.xml 2.7 MB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_frontalface_default.xml 930.1 kB
~Get Your Files Here !/5. Object Detecting and tracking/carnumberplate/Cars2.png 913.9 kB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_profileface.xml 828.5 kB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_upperbody.xml 785.8 kB

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1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
1.We got a lot to do - let's get into it!/02.2 How to install pytorch.mp4 3.5 MB
1.We got a lot to do - let's get into it!/03.3 The fundamentals.mp4 18.9 MB
1.We got a lot to do - let's get into it!/04.4 understanding gradient descent.mp4 42.0 MB
1.We got a lot to do - let's get into it!/05.5 transition to pytorch.mp4 26.3 MB
1.We got a lot to do - let's get into it!/06.6 linear regression in pytorch.mp4 45.5 MB
1.We got a lot to do - let's get into it!/07.7 A deep Neural Network in Pytorch 5.mp4 51.1 MB
1.We got a lot to do - let's get into it!/08.8 Convolutional Neural Networks basics.mp4 12.6 MB
1.We got a lot to do - let's get into it!/09.9 Convolutional Neural Networks in pytorch 1.mp4 18.1 MB
1.We got a lot to do - let's get into it!/10.10 Convolutional Neural Networks CNN in pytorch 2.mp4 35.6 MB
1.We got a lot to do - let's get into it!/11.11 Convolutional Neural Networks CNN in pytorch 3 Final Test.mp4 36.3 MB
1.We got a lot to do - let's get into it!/01.1 Why taking this course Because....mp4 11.1 MB
Exercise Files/code_33915.zip 14.0 kB

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03 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
06 - Conclusion/01 - Future project ideas.mp4 15.1 MB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
01 - Introduction/01 - Welcome.mp4 9.9 MB
04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
03 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
03 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
01 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
Exercise Files/Ex_Files_PyTorch_EssT_DL.zip 53.1 kB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB

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03 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
06 - Conclusion/01 - Future project ideas.mp4 15.1 MB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
01 - Introduction/01 - Welcome.mp4 9.9 MB
04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
03 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
03 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
01 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt 7.8 kB

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~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/07 - Validation and testing.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/04 - Automatic differentiation (Autograd).mp4 10.9 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/06 - Model development and training.mp4 10.4 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/01 - Tensor operations.mp4 10.1 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/03 - Linear algebra operations.mp4 8.5 MB
~Get Your Files Here !/04 - 3. Creating Tensors/01 - Different ways to create tensors.mp4 8.4 MB
~Get Your Files Here !/02 - 1. PyTorch Overview and Introduction to Google Colaboratory/01 - Introduction to deep learning.mp4 8.1 MB
~Get Your Files Here !/03 - 2. Tensors/01 - Introduction to tensors.mp4 6.6 MB
~Get Your Files Here !/04 - 3. Creating Tensors/03 - Tensor data types.mp4 6.5 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/05 - Data batching.mp4 6.4 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/02 - Mathematical functions.mp4 6.4 MB
~Get Your Files Here !/01 - Introduction/03 - Tour of CoderPad.mp4 6.1 MB
~Get Your Files Here !/02 - 1. PyTorch Overview and Introduction to Google Colaboratory/03 - Google Colaboratory basics.mp4 5.7 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/04 - Data transforms.mp4 5.7 MB
~Get Your Files Here !/04 - 3. Creating Tensors/04 - Creating tensors from random samples.mp4 5.5 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/03 - Data loading.mp4 5.2 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/01 - Introduction to the DL training process.mp4 4.8 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/05 - Solution Split tensors to form new tensors.mp4 4.7 MB
~Get Your Files Here !/04 - 3. Creating Tensors/06 - Solution Create tensors.mp4 4.6 MB
~Get Your Files Here !/04 - 3. Creating Tensors/02 - Tensor attributes.mp4 4.1 MB

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