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All the commonly used functions are stored in Functions_Inventory.ipynb

A configuration function is set up to tune and optimize the neural network.

Number of nodes, weights initialization, number of layers, optimizers, .... are explored to find the best configation for the given data.

Using the Iris classification common example.

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Setting up a configuration function to tune & optimize the Neural Networks.

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