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: lightning.ai/
The code demonstrated this video can be downloaded here:
lightning.ai/lightning-ai/stu...
This StatQuest assumes that you are already familiar with...
Neural Networks: • The Essential Main Ide...
Backpropagation: • Neural Networks Pt. 2:...
The ReLU Activation Function: • Neural Networks Pt. 3:...
Tensors: • Tensors for Neural Net...
To install PyTorch see: pytorch.org/get-started/locally/
To install matplotlib, see: matplotlib.org/stable/users/g...
To install seaborn, see: 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