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How does a smallest neural network learn? Maths behind Perceptron Training - Part I

In this video we talk about how does a smallest neural network unit - Perceptron learn, we talk about loss function and binary cross entropy loss, and its optimization using Gradient Descent. Check courses on - http://online.codingblocks.com [Free Trial Available] Coding Blocks India's best Programming and software training institute offers courses like C++ and Java, Data Structures and Algorithms, Web and Android Development(Java and Kotlin), Competitive Programming, Coding Interview Preparation and Machine Learning, AI and more. Registration open for Online and Offline Coding classes.Take advantage of the professionals who have worked with bigwigs like Sony, Cyanogen, Micromax. #CodingBlocks #ProgrammingMadeEasy #LearnCodingOnline Like our FaceBook Page - https://www.facebook.com/codingblocksindia/ Follow us on Instagram - https://www.instagram.com/codingblocks/ Follow us on Twitter - https://twitter.com/CodingBlocksIn Source code available on - https://github.com/coding-blocks-archives LinkedIn Profile -https://www.linkedin.com/company/coding-blocks/ For more interesting tutorials - https://www.youtube.com/codingblocksindia

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