Uploaded April 2022 | Updated September 2026, 1 week ago
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/studios/statquest-introduction-to-coding-neural-networks-with-pytorch?view=public§ion=all
This StatQuest assumes that you are already familiar with...
Neural Networks: youtu.be/CqOfi41LfDw
Backpropagation: youtu.be/IN2XmBhILt4
The ReLU Activation Function: youtu.be/68BZ5f7P94E
Tensors: youtu.be/L35fFDpwIM4
To install PyTorch see: pytorch.org/get-started/locally
To install matplotlib, see: matplotlib.org/stable/users/getting_started
To install seaborn, see: seaborn.pydata.org/installing.html
For a complete index of all the StatQuest videos, check out:
statquest.org/video-index
If you'd like to support StatQuest, please consider...
Patreon: patreon.com/statquest
...or...
YouTube Membership: 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...
statquest.org/statquest-store
...or just donating to StatQuest!
paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
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
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/studios/statquest-introduction-to-coding-neural-networks-with-pytorch?view=public§ion=all
This StatQuest assumes that you are already familiar with...
Neural Networks: youtu.be/CqOfi41LfDw
Backpropagation: youtu.be/IN2XmBhILt4
The ReLU Activation Function: youtu.be/68BZ5f7P94E
Tensors: youtu.be/L35fFDpwIM4
To install PyTorch see: pytorch.org/get-started/locally
To install matplotlib, see: matplotlib.org/stable/users/getting_started
To install seaborn, see: seaborn.pydata.org/installing.html
For a complete index of all the StatQuest videos, check out:
statquest.org/video-index
If you'd like to support StatQuest, please consider...
Patreon: patreon.com/statquest
...or...
YouTube Membership: 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...
statquest.org/statquest-store
...or just donating to StatQuest!
paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
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
