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Implementation of the ResNet50 neural network using OCaml's numerical library Owl.
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model
modelCG
weights
readme.md
test.ml

readme.md

Owl implementation of ResNet50 (using Computation Graph module)

The pre-trained weights from a Keras implementation have been taken from https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels.h5.

You can find the weight file resnet.weights directly here https://drive.google.com/open?id=1Iy6yCpYcXa3BhXsdOjO-DgnzhE3u18ht (they have been converted with save_weights.py and load_weights.ml) and place it at the source of the directory.

You can then run test.ml with the command owl ./test.ml, choosing the picture you want with the variable src.

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