PyTorch Tutorials: Complete Beginner Course (Patrick Loeber)

About this course

Patrick Loeber teaches PyTorch step by step, from tensors and autograd to CNNs, RNNs, transfer learning and deploying a model. Who it's for: Python programmers starting with deep learning in PyTorch. These are the free, official videos of the "PyTorch Tutorials - Complete Beginner Course" playlist from the Patrick Loeber YouTube channel (youtube.com/@patloeber). All videos belong to Patrick Loeber; Sikhami is not affiliated with Patrick Loeber and simply arranges the public playlist into a course, so you can learn one lesson at a time and keep track of your progress.

What you will learn

• Installing PyTorch, tensors and autograd • Backpropagation and gradient descent • The training pipeline: model, loss and optimiser • Linear and logistic regression, datasets and data loaders • Activation functions, feed-forward networks and CNNs • Transfer learning, TensorBoard, saving and loading models • RNNs, LSTMs and GRUs, and deploying a model

Course content

1 section · 22 lectures · 6h 51m

1. 1. PyTorch Tutorials - Complete Beginner Course

   • PyTorch Tutorial 01 - Installation5m
   • PyTorch Tutorial 02 - Tensor Basics18m
   • PyTorch Tutorial 03 - Gradient Calculation With Autograd15m
   • PyTorch Tutorial 04 - Backpropagation - Theory With Example13m
   • PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation17m
   • PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer14m
   • PyTorch Tutorial 07 - Linear Regression12m
   • PyTorch Tutorial 08 - Logistic Regression18m
   • PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training15m
   • PyTorch Tutorial 10 - Dataset Transforms10m
   • PyTorch Tutorial 11 - Softmax and Cross Entropy18m
   • PyTorch Tutorial 12 - Activation Functions10m
   • PyTorch Tutorial 13 - Feed-Forward Neural Network21m
   • PyTorch Tutorial 14 - Convolutional Neural Network (CNN)22m
   • PyTorch Tutorial 15 - Transfer Learning14m
   • PyTorch Tutorial 16 - How To Use The TensorBoard25m
   • PyTorch Tutorial 17 - Saving and Loading Models18m
   • Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku41m
   • PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net38m
   • PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets15m
   • PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers28m
   • PyTorch LR Scheduler - Adjust The Learning Rate For Better Results13m