为您找到约 80 个磁力链接/BT种子，耗时 32 毫秒。
- [ FreeCourseWeb.com ] Packt - Hands-on Computer Vision with PyTorch 1.x- Implement state-of-the art CV models in modern Pytorch.zip 1.6 GB
- [ FreeCourseWeb.com ] PluralSight - Deploying PyTorch Models in Production- PyTorch Playbook.zip 269.0 MB
- [ FreeCourseWeb.com ] PluralSight - Deploying PyTorch Models in Production- PyTorch Playbook.zip 201.2 MB
- [HiOrla.com] Udemy - practical-deep-learning-with-pytorch.zip 1.1 GB
- 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
- [HiOrla.com] Udemy-practical-deep-learning-with-pytorch.zip 1.1 GB
- 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
- 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
- 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
- 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
- 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
- 1617295264_Deep-Codes.zip 177.5 MB
- 1617295264_Deep.pdf 48.9 MB
- 1617295264_Deep.epub 25.9 MB
- Cover.png 315.7 kB
- 1617295264_Deep-Errata.docx 180.7 kB
- More eBooks, Ed.Video, Music on Wolvescall.com and inside useful Info, Lists.txt 7.9 kB
- 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
- [ FreeCourseWeb.com ] Lynda - Transfer Learning for Images Using PyTorch- Essential Training.zip 141.9 MB
- [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip 2.0 GB
- [ FreeCourseWeb.com ] PluralSight - Expediting Deep Learning with Transfer Learning- PyTorch Playbook.zip 1.7 GB
- [ FreeCourseWeb.com ] Udemy - Deep Learning - Computer Vision Beginner to Advanced Pytorch.zip 2.6 GB
- Introduction to PyTorch and Machine Learning.zip 982.1 MB
- Download more courses.url 123 Bytes
- Downloaded from TutsGalaxy.com.txt 73 Bytes
- TutsGalaxy.com.txt 52 Bytes
- 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
- [ FreeCourseWeb.com ] PluralSight - Building Your First PyTorch Solution.zip 278.6 MB