A SIMPLE KEY FOR TYPES OF DEEP LEARNING ARCHITECTURES UNVEILED

Completely connected levels are explained using the Dense class. We can specify the quantity of neurons within the layer as the first argument, the initialisation system as the 2nd argument as init and establish the activation function utilizing the activation argument. Given that the design is described, we are able to compile it.Our Input layer