PyTorch Tutorials - Complete Beginner Course
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What you'll learn
This course includes
- 6.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 22 lessons • 6.5 hours of video
PyTorch Tutorials - Complete Beginner Course
22 lessons
• 6.5 hours
PyTorch Tutorials - Complete Beginner Course
22 lessons
• 6.5 hours
- PyTorch Tutorial 01 - Installation 05:45
- PyTorch Tutorial 02 - Tensor Basics 18:28
- PyTorch Tutorial 03 - Gradient Calculation With Autograd 15:54
- PyTorch Tutorial 04 - Backpropagation - Theory With Example 13:13
- PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation 17:31
- PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer 14:16
- PyTorch Tutorial 07 - Linear Regression 12:11
- PyTorch Tutorial 08 - Logistic Regression 18:22
- PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training 15:27
- PyTorch Tutorial 10 - Dataset Transforms 10:43
- PyTorch Tutorial 11 - Softmax and Cross Entropy 18:17
- PyTorch Tutorial 12 - Activation Functions 10:00
- PyTorch Tutorial 13 - Feed-Forward Neural Network 21:34
- PyTorch Tutorial 14 - Convolutional Neural Network (CNN) 22:07
- PyTorch Tutorial 15 - Transfer Learning 14:55
- PyTorch Tutorial 16 - How To Use The TensorBoard 25:41
- PyTorch Tutorial 17 - Saving and Loading Models 18:24
- Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku 41:52
- PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net 38:57
- PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets 15:52
- PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers 28:02
- PyTorch LR Scheduler - Adjust The Learning Rate For Better Results 13:29
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