hub / github.com/patrickloeber/pytorchTutorial
github.com/patrickloeber/pytorchTutorial @main sqlite
48 symbols
116 edges
19 files
1 documented · 2%
README
PyTorch Beginner Tutorials from my YouTube channel.
Watch the Playlist
- Installation
- Tensor Basics
- Autograd
- Backpropagation
- Gradient Descent With Autograd and Backpropagation
- Training Pipeline: Model, Loss, and Optimizer
- Linear Regression
- Logistic Regression
- Dataset and DataLoader
- Dataset Transforms
- Softmax And Cross Entropy
- Activation Functions
- Feed-Forward Neural Net
- Convolutional Neural Net (CNN)
- Transfer Learning
- Tensorboard
- Save and Load Models
Core symbols most depended-on inside this repo
losscalled by 7
05_2_gradientdescent_auto.py
forward
called by 3
05_1_gradientdescent_manually.py
forward
called by 3
05_2_gradientdescent_auto.py
forward
called by 3
06_1_loss_and_optimizer.py
train_model
called by 2
15_transfer_learning.py
cross_entropy
called by 2
11_softmax_and_crossentropy.py
loss
called by 1
05_1_gradientdescent_manually.py
gradient
called by 1
05_1_gradientdescent_manually.py
Shape
Languages
Python100%
Modules by API surface
10_transformers.py9 symbols
11_softmax_and_crossentropy.py8 symbols
14_cnn.py4 symbols
09_dataloader.py4 symbols
17_save_load.py3 symbols
16_tensorboard.py3 symbols
13_feedforward.py3 symbols
12_activation_functions.py3 symbols
08_logistic_regression.py3 symbols
05_1_gradientdescent_manually.py3 symbols
15_transfer_learning.py2 symbols
05_2_gradientdescent_auto.py2 symbols
For agents
$ claude mcp add pytorchTutorial \
-- python -m otcore.mcp_server <graph>