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PyTorch for Deep Learning & Machine Learning – Full Course
PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation

PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation

PyTorch for Deep Learning & Machine Learning – Full Course

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
22 درس
05:45 PyTorch Tutorial 01 - Installation
18:28 PyTorch Tutorial 02 - Tensor Basics
15:54 PyTorch Tutorial 03 - Gradient Calculation With Autograd
13:13 PyTorch Tutorial 04 - Backpropagation - Theory With Example
17:31 PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation
14:16 PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer
12:11 PyTorch Tutorial 07 - Linear Regression
18:22 PyTorch Tutorial 08 - Logistic Regression
15:27 PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training
10:43 PyTorch Tutorial 10 - Dataset Transforms
18:17 PyTorch Tutorial 11 - Softmax and Cross Entropy
10:00 PyTorch Tutorial 12 - Activation Functions
21:34 PyTorch Tutorial 13 - Feed-Forward Neural Network
22:07 PyTorch Tutorial 14 - Convolutional Neural Network (CNN)
14:55 PyTorch Tutorial 15 - Transfer Learning
25:41 PyTorch Tutorial 16 - How To Use The TensorBoard
18:24 PyTorch Tutorial 17 - Saving and Loading Models
41:52 Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku
38:57 PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net
15:52 PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets
28:02 PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers
13:29 PyTorch LR Scheduler - Adjust The Learning Rate For Better Results