Demystifying Neural Nets by building it with python(NumPy and SciPy)
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HyperParameters
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Parameters
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Activation Function The one which fires the Neuron
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Forward Propagation Propagating our inputs through the network
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Gradient Descent Estimating the Error and deciding which way to move to rectify the errors
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Backward Propagation Learning our parameters
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Overfitting, Testing and Regularization So that our network works well for unseen input too