Architecture Reimplementation · Jupyter Notebook
LeNet_5-from-scratch
Part 1 of Visual Scrambling — LeNet-5 architecture reconstruction Pytorch with convolution geometry, RBF function, pooling and broadcasting explanation
What it is
This repository provides a from-scratch PyTorch reimplementation of the LeNet-5 architecture, including a custom radial basis function output layer and loss function as described in the original paper. It includes unit tests, a training notebook, and a trained checkpoint for MNIST digit classification.
- ai
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deeplearning
- lenet
- lenet-5
- lenet-architecture
- lenet-custom
- lenet-mnist
Where it counts
- Machine Learning90%
- Computer Vision90%
- Data Science20%
- MLOps20%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
Whole board- 18, shared rankneural-style-transfer-cnnML Application · Python58.6AdvancedPop AlexandruMachine Learning
- 18, shared rankrl-livive-netML Application · JavaScript58.6AdvancedJarad PeckenpaughMachine Learning
- 21LeNet_5-from-scratchArchitecture Reimplementation · Jupyter Notebook57.7ImplementationPop AlexandruMachine Learning
- 22, shared rankcdeEducational Implementation · Python57.4ImplementationJarad PeckenpaughMachine Learning
- 22, shared rankfresta-edgeML Application · Python57.4ImplementationTiago SantosMachine Learning
