Hi guys, Welcome to the Advanced Video Search Engine, and you are watching Neural Networks Explained - Machine Learning Tutorial for Beginners. That video is uploaded by LearnCode.academy at 2018-06-11T09:00:03-07:00. We are promoting this video only for entertainment and educational purpose only. So, I hope you like & enjoy it. [GvQwE2OhL8I]
| Name | Neural Networks Explained - Machine Learning Tutorial for Beginners |
| Video Uploader | Video From LearnCode.academy |
| Upload Date | This Video Uploaded At 11-06-2018 16:00:03 |
| Video Discription | 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: https://www.youtube.com/watch?v=9Hz3P1VgLz4&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=2&t=0s Machine Learning 2 - Building a Recommendation Engine: https://www.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" https://www.youtube.com/watch?v=oU5ar0dmQEY -~-~~-~~~-~~-~- GvQwE2OhL8I |
| Category | Howto & Style |
| Tags | neural network | neural networks | back propagation | tutorial | beginner | beginners | feed forward | machine learning | learning | machine | neural | network | networks | neural networks made easy | siraj | siraj raval | ai | artificial intelligence | deep learning | explained | easy | sigmoid | activation function | activation | tanh | relu | linear | non linear | learning rate | momentum |
