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种子名称： [FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch
文件类型： 视频
文件数目： 58个文件
文件大小： 1.04 GB
收录时间： 2018-9-9 21:42
已经下载： 3次
资源热度： 121
最近下载： 2025-1-26 02:14

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[FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch.torrent

01 Introduction/001 Introduction.mp411.34MB

02 Software Requirements/002 CPU Software Requirements.mp47.32MB

02 Software Requirements/003 CPU Installation of PyTorch.mp44.74MB

02 Software Requirements/004 PyTorch with GPU on AWS.mp424.12MB

02 Software Requirements/005 PyTorch with GPU on Linux.mp411.56MB

02 Software Requirements/006 PyTorch with GPU on MacOSX.mp412.42MB

03 PyTorch Fundamentals_ Matrices/007 Matrix Basics.mp46.84MB

03 PyTorch Fundamentals_ Matrices/008 Seed for Reproducibility.mp48.52MB

03 PyTorch Fundamentals_ Matrices/009 Torch to NumPy Bridge.mp413.43MB

03 PyTorch Fundamentals_ Matrices/010 NumPy to Torch Bridge.mp41.87MB

03 PyTorch Fundamentals_ Matrices/011 GPU and CPU Toggling.mp43.4MB

03 PyTorch Fundamentals_ Matrices/012 Basic Mathematical Tensor Operations.mp421.21MB

03 PyTorch Fundamentals_ Matrices/013 Summary of Matrices.mp42.99MB

04 PyTorch Fundamentals_ Variables and Gradients/014 Variables.mp47.13MB

04 PyTorch Fundamentals_ Variables and Gradients/015 Gradients.mp415.21MB

04 PyTorch Fundamentals_ Variables and Gradients/016 Summary of Variables and Gradients.mp41.61MB

05 Linear Regression with PyTorch/017 Linear Regression Introduction.mp48.4MB

05 Linear Regression with PyTorch/018 Linear Regression in PyTorch.mp460.67MB

05 Linear Regression with PyTorch/019 Linear Regression From CPU to GPU in PyTorch.mp419.72MB

05 Linear Regression with PyTorch/020 Summary of Linear Regression.mp46.38MB

06 Logistic Regression with PyTorch/021 Logistic Regression Introduction.mp47.25MB

06 Logistic Regression with PyTorch/022 Linear Regression Problems.mp49.16MB

06 Logistic Regression with PyTorch/023 Logistic Regression In-depth.mp424.99MB

06 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4118.16MB

06 Logistic Regression with PyTorch/025 Logistic Regression From CPU to GPU in PyTorch.mp420.66MB

06 Logistic Regression with PyTorch/026 Summary of Logistic Regression.mp46.49MB

07 Feedforward Neural Network with PyTorch/027 Logistic Regression Transition to Feedforward Neural Network.mp47.94MB

07 Feedforward Neural Network with PyTorch/028 Non-linearity.mp417.62MB

07 Feedforward Neural Network with PyTorch/029 Feedforward Neural Network in PyTorch.mp463.1MB

07 Feedforward Neural Network with PyTorch/030 More Feedforward Neural Network Models in PyTorch.mp440.74MB

07 Feedforward Neural Network with PyTorch/031 Feedforward Neural Network From CPU to GPU in PyTorch.mp415.52MB

07 Feedforward Neural Network with PyTorch/032 Summary of Feedforward Neural Network.mp411.5MB

08 Convolutional Neural Network (CNN) with PyTorch/033 Feedforward Neural Network Transition to CNN.mp46.96MB

08 Convolutional Neural Network (CNN) with PyTorch/034 One Convolutional Layer_ Input Depth of 1.mp428.51MB

08 Convolutional Neural Network (CNN) with PyTorch/035 One Convolutional Layer_ Input Depth of 3.mp418.74MB

08 Convolutional Neural Network (CNN) with PyTorch/036 One Convolutional Layer Summary.mp45.38MB

08 Convolutional Neural Network (CNN) with PyTorch/037 Multiple Convolutional Layers Overview.mp45.2MB

08 Convolutional Neural Network (CNN) with PyTorch/038 Pooling Layers.mp415.14MB

08 Convolutional Neural Network (CNN) with PyTorch/039 Padding for Convolutional Layers.mp420.86MB

08 Convolutional Neural Network (CNN) with PyTorch/040 Output Size Calculation.mp411.55MB

08 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp457.03MB

08 Convolutional Neural Network (CNN) with PyTorch/042 More CNN Models in PyTorch.mp429.02MB

08 Convolutional Neural Network (CNN) with PyTorch/043 CNN Models Summary.mp43.56MB

08 Convolutional Neural Network (CNN) with PyTorch/044 Expanding Model's Capacity.mp43.43MB

08 Convolutional Neural Network (CNN) with PyTorch/045 CNN From CPU to GPU in PyTorch.mp410.65MB

08 Convolutional Neural Network (CNN) with PyTorch/046 Summary of CNN.mp47.19MB

09 Recurrent Neural Networks (RNN)/047 Introduction to RNN.mp419.2MB

09 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp442.68MB

09 Recurrent Neural Networks (RNN)/049 More RNN Models in PyTorch.mp441.94MB

09 Recurrent Neural Networks (RNN)/050 RNN From CPU to GPU in PyTorch.mp412.44MB

09 Recurrent Neural Networks (RNN)/051 Summary of RNN.mp45.41MB

10 Long Short-Term Memory Networks (LSTM)/052 Introduction to LSTMs.mp420.06MB

10 Long Short-Term Memory Networks (LSTM)/053 LSTM Equations.mp48.75MB

10 Long Short-Term Memory Networks (LSTM)/054 LSTM in PyTorch.mp437.97MB

10 Long Short-Term Memory Networks (LSTM)/055 More LSTM Models in PyTorch.mp428.21MB

10 Long Short-Term Memory Networks (LSTM)/056 LSTM From CPU to GPU in PyTorch.mp49.73MB

10 Long Short-Term Memory Networks (LSTM)/057 Summary of LSTM.mp44.05MB

11 What's Next_/058 What's Next_.mp415.91MB