activatedgeek / Lenet 5
PyTorch implementation of LeNet-5 with live visualization
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LeNet-5
This implements a slightly modified LeNet-5 [LeCun et al., 1998a] and achieves an accuracy of ~99% on the MNIST dataset.
Setup
Install all dependencies using the following command
$ pip install -r requirements.txt
Usage
Start the visdom server for visualization
$ python -m visdom.server
Start the training procedure
$ python run.py
See epoch train loss live graph at http://localhost:8097.
The trained model will be exported as ONNX to lenet.onnx. The lenet.onnx file can be viewed with Neutron
References
[1] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998.
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