-
Couldn't load subscription status.
- Fork 0
An end-to-end implementation of a multi-layer perceptron (MLP) for MNIST digit classification, utilizing Kaiming weight initialization, ReLU activations, and Adam optimization—engineered with GPU acceleration support via PyTorch for efficient training and inference.
Couldn't load subscription status.
devspidr/HierarchicallyOptimized-MNIST-Classifier-PyTorch
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
About
An end-to-end implementation of a multi-layer perceptron (MLP) for MNIST digit classification, utilizing Kaiming weight initialization, ReLU activations, and Adam optimization—engineered with GPU acceleration support via PyTorch for efficient training and inference.