Choosing a Deep Learning Framework

Implementing deep learning algorithms from scratch using Python and NumPY is a good way to understand what these deep learning algorithms are really doing by unfolding the deep learning black box. However, it is increasingly not practical, at least for most people like me, is not practical to (CNN) or recurring neural networks (CNN) or such complex models, such as convolutional neural networks implement everything yourself from scratch. Even though you understand how to do multiplayer and you are able to build a large multiplication and you are probably not want to implement your own matrix multiplication function but instead, you want to call a numerical linear algebra library that could be more more efficiently for you. I think this is crucially important when you are in the middle of Deep Learning pipeline. So let's take a look at the frameworks out there ... Today, there are many deep learning frameworks that make it easy for you to implement neural networks, and here are some of the leading ones.