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Neural Networks Explained - Machine Learning Tutorial for Beginners

Duration: 12:07Views: 438KLikes: 6.1KDate Created: Jun, 2018

Tags: feed forward siraj neural neural networks learning rate relu learning networks explained neural network artificial intelligence network deep learning tanh non linear neural networks made easy beginner tutorial activation function linear back propagation ai machine learning easy momentum machine sigmoid beginners siraj raval activation

Description: If you know nothing about how a neural network works, this is the video for you! I've worked for weeks to find ways to explain this in a way that is easy to understand for beginners. Past Videos: Intro to Machine Learning with Javascript: youtube.com/watch?v=9Hz3P1VgLz4&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=2&t=0s Machine Learning 2 - Building a Recommendation Engine: youtube.com/watch?v=lvzekeBQsSo&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=3&t=0s Machine learning and neural networks are awesome. This video provides beginners with an easy tutorial explaining how a neural network works - what math is involved, and a step by step explanation of how the data moves through the network. The example used will be a feed forward neural network with back propagation. It explains the difference between linear and non linear data, the importance of the activation function, learning rate, and momentum configurations. -~-~~-~~~-~~-~- Also watch: "Tailwind CSS - why CSS utility classes save so much time" youtube.com/watch?v=oU5ar0dmQEY -~-~~-~~~-~~-~-

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