Building A Deep Learning Model using Keras – Towards Data Science

Deep learning is an increasingly popular subset of machine learning. Deep learning models are built using neural networks. A neural network takes in inputs, which are then processed in hidden layers using weights that are adjusted during training. The weights are adjusted to find patterns in order to make better predictions. The user does not need to specify what patterns to look for -- the neural network learns on its own.