Architecture Reimplementation · Jupyter Notebook
AlexNet-from-scratch
Part 2 of Visual Scrambling — AlexNet architecture dissected and reconstructed in PyTorch with Imagenette experiments
What it is
The repository provides a from-scratch PyTorch implementation of the AlexNet convolutional neural network, including model definition, training loop, evaluation, and a pretrained checkpoint on the Imagenette dataset. It is intended as an educational reference and demonstration of reproducing a classic CNN architecture.
- alexnet
- alexnet-architecture
- alexnet-cnn
- alexnet-model
- alexnet-models
- artificial-intelligence
- cnn
- cnn-architecture
- cnn-model
- cnn-pytorch
Where it counts
- Computer Vision90%
- Machine Learning80%
- 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 Computer Vision board
Whole board- 1Document-deliveryML Application · Python66.0AdvancedJens MittelbachComputer Vision
- 2AlexNet-from-scratchArchitecture Reimplementation · Jupyter Notebook60.5AdvancedPop AlexandruComputer Vision
- 3fourcast-livive-netEducational Implementation · JavaScript59.1AdvancedJarad PeckenpaughComputer Vision
- 04opencv-document-scannerOther AI Project · Python54.1ImplementationPop AlexandruComputer Vision
