The StatQuest Introduction to PyTorch

Video Description

PyTorch is one of the most popular tools for making Neural Networks. This StatQuest walks you through a simple example of how to use PyTorch one step at a time. By the end of this StatQuest, you'll know how to create a new neural network from scratch, make predictions and graph the output, and optimize a parameter using backpropagation. BAM!!! To learn more about Lightning: https://lightning.ai/ The code demonstrated this video can be downloaded here: https://lightning.ai/lightning-ai/studios/statquest-introduction-to-coding-neural-networks-with-pytorch?view=public&section=all This StatQuest assumes that you are already familiar with... Neural Networks: https://youtu.be/CqOfi41LfDw Backpropagation: https://youtu.be/IN2XmBhILt4 The ReLU Activation Function: https://youtu.be/68BZ5f7P94E Tensors: https://youtu.be/L35fFDpwIM4 To install PyTorch see: https://pytorch.org/get-started/locally/ To install matplotlib, see: https://matplotlib.org/stable/users/getting_started/ To install seaborn, see: https://seaborn.pydata.org/installing.html For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 0:00 Awesome song and introduction 1:38 Coding preliminaries 2:15 Creating a neural network in PyTorch 7:54 Graphing the neural network's output 10:47 Optimizing a parameter with backpropagation #StatQuest #NeuralNetworks #PyTorch