Neural Networks with Python and GridDB

Neural Networks have taken the world of machine learning and predictive modelling in the last 5 years. Neural network have the ability to learn complex relationships in data and have been shown to work for a variety of applications from finance to robotics. Inspired by the human brain, Neural Networks work on the principle of signal transmission from one neuron to the other. Neural networks comprise of mainly three types of node layers -- an input layer, one or more hidden layers, and an output layer. Each node is an artificial neuron which connects to another using a nonlinear function and has an associated weight and threshold.