Deep Convolutional MNIST Classifier using Tensorflow

This is a convolutional nerual network with 11 conv-layer and 3 fc-layer base on VGG19, I removed 8 conv-layer and 3 pooling layer to make sure all datas fits in my GPU memory. The project is based on github project tensorflow-vgg19 [https://github.com/machrisaa/tensorflow-vgg]

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
MNIST_data		MNIST_data
docs		docs
test_data		test_data
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
synset.txt		synset.txt
test_vgg16.py		test_vgg16.py
test_vgg19.py		test_vgg19.py
test_vgg19_trainable.py		test_vgg19_trainable.py
utils.py		utils.py
vgg16.py		vgg16.py
vgg19.py		vgg19.py
vgg19_trainable.py		vgg19_trainable.py
vgg_mnist.ipynb		vgg_mnist.ipynb

EvanWY/Tensorflow-VGG-MNIST-Classifier

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Deep Convolutional MNIST Classifier using Tensorflow

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