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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

This saves a lot of time because we now only need to train the non-recycled layers of the new network. In line 21 , we load the weights that we previously trained for these top layers and saved in a file called “ top_model_weights.h5 ”. It just assures us that the model learned everything it could from the fake data.

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