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【影视】 GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB

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

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

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~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】 [FreeCoursesOnline.Me] ZeroToMastery - PyTorch for Deep Learning

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lesson1.mp4 137.5 MB
PyTorch for Deep Learning Zero to Mastery.txt 18.3 kB
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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Predictive Analytics with PyTorch.zip

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[ FreeCourseWeb.com ] PluralSight - Predictive Analytics with PyTorch.zip 319.1 MB

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【其他】 [Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence

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18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB 158.0 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB 88.7 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4.!qB 72.9 MB
8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4.!qB 72.6 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4.!qB 68.1 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4.!qB 62.4 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).mp4.!qB 57.9 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4.!qB 56.0 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4.!qB 54.8 MB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4.!qB 51.2 MB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4.!qB 45.7 MB
3. Machine Learning and Neurons/16. Train Sets vs. Validation Sets vs. Test Sets.mp4.!qB 44.5 MB
5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4.!qB 42.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4.!qB 40.1 MB
1. Introduction/1. Welcome.mp4.!qB 37.5 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4.!qB 34.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4.!qB 33.8 MB
7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4.!qB 32.9 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4.!qB 30.2 MB

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【影视】 PyTorch for Deep Learning

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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
lesson253.mp4 122.5 MB
lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
lesson52.mp4 104.3 MB
lesson169.mp4 103.3 MB
lesson201.mp4 103.1 MB
lesson239.mp4 102.9 MB
lesson117.mp4 99.9 MB

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【影视】 [ CourseWikia.com ] PyTorch Essential Training - Deep Learning (2024)

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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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【影视】 Linkedin - PyTorch Essential Training Deep Learning

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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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【压缩文件】 Getting Started with NLP Deep Learning Using PyTorch and fastai (Gianni Rosa Gallina, 2019)

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exercise.7z 663.6 MB
4. Building a TextTopic Classifier with Transfer Learning/2. Preparing the Data.mp4 26.2 MB
3. Setting up a Development Environment/2. Set up a Dev Environment for fastai 1.0.mp4 23.9 MB
4. Building a TextTopic Classifier with Transfer Learning/6. Training a Document Classifier with Transfer Learning.mp4 19.1 MB
4. Building a TextTopic Classifier with Transfer Learning/3. Introduction to Language Models.mp4 17.9 MB
4. Building a TextTopic Classifier with Transfer Learning/7. Discussing the Results and Summary.mp4 15.3 MB
4. Building a TextTopic Classifier with Transfer Learning/5. Finalizing Language Model Tuning and Testing.mp4 13.4 MB
4. Building a TextTopic Classifier with Transfer Learning/4. Language Model Fine-tuning.mp4 13.0 MB
6. Going from Prototype to Production/1. Introduction and Dev Environment Setup.mp4 11.6 MB
5. Using Deep Learning for NLP/10. Batch Data Loading.mp4 10.9 MB
7. Building a Custom Language Model from Scratch/2. Getting the Data.mp4 10.7 MB
6. Going from Prototype to Production/7. Deploy the Production Image.mp4 10.3 MB
4. Building a TextTopic Classifier with Transfer Learning/1. Module Overview.mp4 10.1 MB
6. Going from Prototype to Production/3. Scoring Script for Local Test.mp4 9.9 MB
7. Building a Custom Language Model from Scratch/3. Text Pre-processing.mp4 9.3 MB
5. Using Deep Learning for NLP/03. Introduction to ULMFiT.mp4 9.1 MB
5. Using Deep Learning for NLP/09. Text Pre-processing.mp4 8.3 MB
3. Setting up a Development Environment/3. Other Dev Environment Options.mp4 6.7 MB
5. Using Deep Learning for NLP/06. AWD-LSTM Language Model.mp4 6.3 MB
2. Exploring the fastai Library/2. Introducing the fastai Library.mp4 6.0 MB

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【影视】 [CourseClub.Me] ZeroToMastery - PyTorch for Deep Learning

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lesson187.mp4 125.5 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson169.mp4 103.3 MB
lesson239.mp4 102.9 MB
lesson117.mp4 99.9 MB
lesson217.mp4 97.7 MB
lesson49.mp4 97.7 MB
lesson170.mp4 95.9 MB
lesson182.mp4 94.8 MB
lesson305.mp4 93.8 MB
lesson125.mp4 93.1 MB
lesson142.mp4 90.9 MB
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【压缩文件】 [FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence

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【压缩文件】 Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy

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02 Download Code and Setup Colab/1 Modern Computer Vision__2022-02-25.7z 120.8 MB
16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv 3.4 MB
18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv 3.2 MB
09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv 2.9 MB
26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv 2.7 MB
18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv 2.7 MB
04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv 2.7 MB
22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv 2.7 MB
21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv 2.5 MB
04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv 2.4 MB
09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv 2.4 MB
29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv 2.4 MB
18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv 2.4 MB
19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv 2.3 MB
24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv 2.2 MB
03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv 2.2 MB
19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv 2.2 MB
21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv 2.2 MB
03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv 2.2 MB
16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv 2.1 MB

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Рашка С., Юси (Хэйден) Лю, Мирджалили В. - Машинное обучение с PyTorch и Scikit-Leam - 2024.pdf 89.7 MB

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Code.zip 155.0 MB
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