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Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: https://glacad.me/3Adaumj Get your free certificate of completion for the Introduction to Deep Learning course, Register Now: https://glacad.me/3FAjinn In deep learning, rather than just performing normalization once in the beginning, you’re doing it all over the network. This is called batch normalization. The output from the activation function of a layer is normalized and passed as input to the next layer. It is called “batch” normalization because we normalize the selected layer’s values by using the mean and standard deviation (or variance) of the values in the current batch. 00:00:00 Introduction 00:01:39 Agenda 00:05:19 What is Batch Normalisation? 00:11:32 How Does Batch Normalisation works? 00:19:01 When and Where to use BN 00:30:32 How to evaluate BN Results? 00:37:57 Regularization and Normalization in BN 00:42:32 Why is this method so important? 00:52:16 Side effects of BN 00:58:47 Advantages of Using BN Visit Great Learning Academy, to get access to 300+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3qBT6o4 Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.