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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Image Classification with PyTorch.zip

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[ FreeCourseWeb.com ] PluralSight - Image Classification with PyTorch.zip 515.3 MB

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【压缩文件】 Deep Learning Projects with PyTorch [Video]

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Exercise Files/code_33630.zip 103.9 MB
1.Getting Ready with PyTorch/02.Using PyTorch.mp4 40.7 MB
1.Getting Ready with PyTorch/03.Understanding Regression.mp4 13.0 MB
1.Getting Ready with PyTorch/04.Linear Regression and Logistic Regression.mp4 34.5 MB
2.Convolutional Neural Network/05.Understanding Convolutional Neural Network.mp4 17.9 MB
2.Convolutional Neural Network/06.Looking into Images from a Machine Perspective.mp4 23.4 MB
2.Convolutional Neural Network/07.Making CNN.mp4 33.7 MB
2.Convolutional Neural Network/08.Pooling Layers.mp4 19.5 MB
2.Convolutional Neural Network/09.Output Layer.mp4 21.5 MB
3.Understanding RNN and LSTM/10.Understanding Recurrent Neural Network.mp4 29.4 MB
3.Understanding RNN and LSTM/11.Making RNN for Prediction.mp4 31.1 MB
3.Understanding RNN and LSTM/12.Why LSTM.mp4 52.1 MB
3.Understanding RNN and LSTM/13.Moving to LSTM.mp4 10.6 MB
4.Using Autoencoders for Fraud Detection/14.Getting Ready with Data.mp4 27.2 MB
4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4 27.8 MB
4.Using Autoencoders for Fraud Detection/16.Getting Output.mp4 8.6 MB
5.Recommending a Movie with Boltzmann Machines/17.Introduction to Boltzmann Machines.mp4 41.6 MB
5.Recommending a Movie with Boltzmann Machines/18.Getting Ready for Recommender System.mp4 18.5 MB
5.Recommending a Movie with Boltzmann Machines/19.Making Boltzmann Machines.mp4 60.9 MB
5.Recommending a Movie with Boltzmann Machines/20.Getting Output.mp4 4.1 MB

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【压缩文件】 Ayyadevara K. Modern Computer Vision with PyTorch...fundamentals...2ed 2024

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Code.zip 155.0 MB
Ayyadevara K. Modern Computer Vision with PyTorch...fundamentals...2ed 2024.pdf 78.6 MB
ColorImages.pdf 31.1 MB
Readme.txt 957 Bytes

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PyTorch Computer Vision Cookbook by Michael Avendi .mobi 37.7 MB
PyTorch Computer Vision Cookbook by Michael Avendi .pdf 23.9 MB
PyTorch Computer Vision Cookbook by Michael Avendi .epub 20.0 MB
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【影视】 Deep Learning and Neural Networks in PyTorch for Beginners [Video]

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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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip

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[ FreeCourseWeb.com ] Udemy - PyTorch Tutorial - Neural Networks & Deep Learning in Python.zip 3.1 GB

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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Building Your First PyTorch Solution.zip

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[ FreeCourseWeb.com ] PluralSight - Building Your First PyTorch Solution.zip 278.6 MB

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【影视】 [Udemy] Ускоренный курс PyTorch (2021)

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

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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 - 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】 PyTorch-Deep Learning and Artificial Intelligence [updated]

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[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB

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

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~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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip

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[ FreeCourseWeb.com ] Udemy - Modern Deep Convolutional Neural Networks with PyTorch.zip 707.4 MB

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【影视】 [FreeCoursesOnline.Me] 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
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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【影视】 Deep Learning Adventures with PyTorch [Video]

收录时间:2018-11-12 文档个数:20 文档大小:533.8 MB 最近下载:2025-05-15 人气:3015 磁力链接

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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【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
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