Affiliation:
1. Dr. Moulay Tahar University, Algeria
Abstract
Deep learning is one of the main technologies of machine learning. With deep learning, this chapter is talking about algorithms capable of mimicking the actions of the human brain through artificial neural networks. Compared to other algorithmic structures, neural networks have great advantages: first, their structure based on the stacking of non-linear functions gives them an enormous capacity. In this chapter, the authors will encompass the different models of the convolutional neural network that exist in the literature, their parameters, their architectures, their layers, their advantages, and their disadvantages. The objective is to help researchers to have a summary on deep learning.
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