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In this popularization video I will try to explain to you what deeplearning is without going into complicated math details. At the end of the video you will have a good intuition of how a neural network is built and how it learns. Deeplearning is a branch of artificial intelligence that is very fashionable at the moment with big data. It is a method that allows predictions to be made on data. We will discover the 2 key steps that are FeedForward and Backpropagation The channel discord: / discord If after watching the video you want to know more here are some articles, books and videos that I would recommend: Videos: 3Blue1Brown But what is a Neural Network?: • But what is a neural network? Deep ... Neural Networks training macheads101: • Neural Networks (Part 2) - Training MIT Neural Nets: • 12a: Neural Nets CallTech Lecture10 - Neural Networks: • Lecture 10 - Neural Networks Articles: A Step by Step Backpropagation Example: https://mattmazur.com/2015/03/17/a-st... Backpropagation concept explained in 5 levels of difficulty: / backpropagation-concept-explained-in-5-lev... A gentle introduction to calculus: http://makeyourownneuralnetwork.blogs... Books: Make Your Own Neural Network: An In-depth Visual Introduction For Beginners Michael Taylor Calculus Made Easy by SP Thompson (The mathematics to know for backpropagation)