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【影视】 [FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch
收录时间:2020-02-02 文档个数:128 文档大小:1.1 GB 最近下载:2025-05-05 人气:4314 磁力链接
  • mp406 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4 123.9 MB
  • mp407 Feedforward Neural Network with PyTorch/029 Feedforward Neural Network in PyTorch.mp4 66.2 MB
  • mp405 Linear Regression with PyTorch/018 Linear Regression in PyTorch.mp4 63.6 MB
  • mp408 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp4 59.8 MB
  • mp409 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp4 44.7 MB
  • mp409 Recurrent Neural Networks (RNN)/049 More RNN Models in PyTorch.mp4 44.0 MB
  • mp407 Feedforward Neural Network with PyTorch/030 More Feedforward Neural Network Models in PyTorch.mp4 42.7 MB
  • mp410 Long Short-Term Memory Networks (LSTM)/054 LSTM in PyTorch.mp4 39.8 MB
  • mp408 Convolutional Neural Network (CNN) with PyTorch/042 More CNN Models in PyTorch.mp4 30.4 MB
  • mp408 Convolutional Neural Network (CNN) with PyTorch/034 One Convolutional Layer_ Input Depth of 1.mp4 29.9 MB
  • mp410 Long Short-Term Memory Networks (LSTM)/055 More LSTM Models in PyTorch.mp4 29.6 MB
  • mp406 Logistic Regression with PyTorch/023 Logistic Regression In-depth.mp4 26.2 MB
  • mp402 Software Requirements/004 PyTorch with GPU on AWS.mp4 25.3 MB
  • mp403 PyTorch Fundamentals_ Matrices/012 Basic Mathematical Tensor Operations.mp4 22.2 MB
  • mp408 Convolutional Neural Network (CNN) with PyTorch/039 Padding for Convolutional Layers.mp4 21.9 MB
  • mp406 Logistic Regression with PyTorch/025 Logistic Regression From CPU to GPU in PyTorch.mp4 21.7 MB
  • mp410 Long Short-Term Memory Networks (LSTM)/052 Introduction to LSTMs.mp4 21.0 MB
  • mp405 Linear Regression with PyTorch/019 Linear Regression From CPU to GPU in PyTorch.mp4 20.7 MB
  • mp409 Recurrent Neural Networks (RNN)/047 Introduction to RNN.mp4 20.1 MB
  • mp408 Convolutional Neural Network (CNN) with PyTorch/035 One Convolutional Layer_ Input Depth of 3.mp4 19.7 MB
【影视】 [FreeCoursesOnline.Me] Linkedin - PyTorch Essential Training Deep Learning
收录时间:2020-02-01 文档个数:39 文档大小:253.2 MB 最近下载:2025-05-06 人气:6943 磁力链接
  • mp403 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
  • mp402 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
  • mp405 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
  • mp406 - Conclusion/01 - Future project ideas.mp4 15.1 MB
  • mp405 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
  • mp402 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
  • mp401 - Introduction/01 - Welcome.mp4 9.9 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
  • mp405 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
  • mp403 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
  • mp403 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
  • mp401 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
  • mp404 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
  • zipExercise Files/Ex_Files_PyTorch_EssT_DL.zip 53.1 kB
  • srt05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
  • srt02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
  • srt04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB
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