Abstract

Deep Learning Algorithm (2024)

N Nafati*, F Paris, E Huyghe

This paper discusses deep learning (AI) for random and normalian variables. I will give the definition of forward propagation, the definition of back propagation. As well as the algorithm of a neural network (deep learning), the definition of an artificial neuron to the two-layer neural network. I will also give the learning curves, the accuracy curve as well as the result of a deep learning: Image composed of toxic samples and understanding of algorithms inspired by the neural network of the human brain. It excels at solving complex tasks, ranging from computer vision, natural language understanding to transcriptomic data.

Published Date: 2025-09-17; Received Date: 2024-12-26