keras2sql
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Deep Learning (Keras) Models Deployment using SQL databases
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This is probably a way to avoid some unnecessarily large models and generate an (almost) equivalent SQL code.
Sample use case : simple convnet on the MNIST dataset keras example : https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py used layers and activation functions : ```Python model.add(Conv2D(32, kernel_size=(3, 3), activation='relu', input_shape=input_shape)) model.add(Conv2D(64, (3, 3), activation='relu'))...
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