The StatQuest Introduction to PyTorch

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/stu...

This StatQuest assumes that you are already familiar with...
Neural Networks:    • The Essential Main Ideas of Neural Networks  
Backpropagation:    • Neural Networks Pt. 2: Backpropagation Mai...  
The ReLU Activation Function:    • Neural Networks Pt. 3: ReLU In Action!!!  
Tensors:    • Tensors for Neural Networks, Clearly Expla...  

To install PyTorch see: https://pytorch.org/get-started/locally/
To install matplotlib, see: https://matplotlib.org/stable/users/g...
To install seaborn, see: https://seaborn.pydata.org/installing...

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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