Neural_Nets_Demystifyed

Demystifying Neural Nets by building it with python(NumPy and SciPy)

Contents

• HyperParameters

• Parameters

• Activation Function The one which fires the Neuron

• Forward Propagation Propagating our inputs through the network

• Gradient Descent Estimating the Error and deciding which way to move to rectify the errors

• Backward Propagation Learning our parameters

• Overfitting, Testing and Regularization So that our network works well for unseen input too