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 Neural Network What is a Neural Network Deep Learning  is based on the function of a human brain, lets understand how does a Biological Neural Network look like First step in the process is to calculate the weighted sum of the inputs Second step in the process is to pass the calculated weighted  sum as input activation function to generate the output. Activation Function An Activation function takes the "weighted sum of input plus the bias" as the input to the function and decides whether it should be fired or not. Types of Activation Functions Sigmoid Function Threshold Function ReLU Function (Most Popular one in current Industry) Hyperbolic Target Function Sigmoid Function Used for models where we have to predict the probability as an output. It exists between 0 and 1 Threshold Function It is a thershold based activation function. If Y value is greater than a certain Value, the function is activated and fired else not.It ...