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 Ne...
Backpropagation: • Neural Networks Pt. 2: Backpropagatio...
The ReLU Activation Function: • Neural Networks Pt. 3: ReLU In Action!!!
Tensors: • Tensors for Neural Networks, Clearly ...
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
