In this Neural Networks and Deep Learning Tutorial, we will talk about Batch Size And Batch Normalization In Neural Networks. First of all, we will cover what batch is, why we use it, and how you can find the best batch size. We will also cover batch normalization and how it used in the layers of a neural network. The purpose of using batch normalization is to make our neural network learn faster and be more stable. In the video, we are going to take a look at the Keras API documentation and see how you can specify the batch size and use batch normalization in Python.

Code examples from this tutorial will be available on my GitHub: https://github.com/niconielsen32​

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#deep-learning