Each input image (of size
The current implementation implements a modular design that allows each layer to calculate the local gradient and the downstream gradient individually. The architecture contains model, control and utils.
Model contains the components of the neural network including dense layer, activation and loss functions. Utils contains common methods for data input and data transformation. Control includes the director NNRunner class, which manage the interactions of various components of the neural network.
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