Branch-AI/one_exercise_per_file/week03/day01/readme.md

W3D1 Piscine AI - Data Science

Table of Contents:

Introduction

Deep learning is a huge domain. We will focus on Artificial Neural Networks. The goal is to understand how do the neural networks train and train them on data. Understand the challenges of training a neural network Architectures as RNN, LSTM (learn sequences, used in TS and NLP),CNN used a lot in image processing are well know algorithms in deep learning but won't be covered by the AI branch. Once you have a good understanding of ANN feel free to extend your knowledge to new architectures.

Rules

Ressources

https://victorzhou.com/blog/intro-to-neural-networks/

https://srnghn.medium.com/deep-learning-overview-of-neurons-and-activation-functions-1d98286cf1e4#:~:text=What%20is%20a%20neuron%3F,to%20become%20the%20neuron's%20output.

Reproduire cet article sans back prop https://towardsdatascience.com/machine-learning-for-beginners-an-introduction-to-neural-networks-d49f22d238f9