Deep Learning

neural networks differ from each other by the number of neurons in each layer , number of layers , and inter-connectivity among them. on a given neural network model , the learning process sets each neuron behavior via a small number of parameters. while the learning process is a very demanding computation iteration, the classification itself has a low latency in this project: we will implement a scheduling method ,...