Using STFT as an input to a Neural Net

1. What can be an input for a neural network?
2. How do I make my neural network converge faster?
3. What is thresholding in neural network?

What can be an input for a neural network?

The input layer of a neural network is composed of artificial input neurons, and brings the initial data into the system for further processing by subsequent layers of artificial neurons. The input layer is the very beginning of the workflow for the artificial neural network.

How do I make my neural network converge faster?

Input normalization

This method is also one of the most helpful methods to make neural networks converge faster. In many of the learning processes, we experience faster training when the training data sum to zero. We can normalize the input data by subtracting the mean value from each input variable.

What is thresholding in neural network?

These certain conditions which differ neuron to neuron are called Threshold. For example, if the input X1 into the first neuron is 30 and X2 is 0: This neuron will not fire, since the sum 30+0 = 30 is not greater than the threshold i.e 100.