More example or tutorials that link https://www.tensorflow.org/. You can find more API s or samples about tensorflow.

10.2 Others- The Python Deep Learning library

10.2.1  Keras

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation .
Keras is also a very popular deep learning framework, it offers a very easy interface with Python. More example and tutorials link https://keras.io/.

10.2.2  PyTorch

 PyTorch, an open source deep learning platform that provides a seamless path from research prototyping to production deployment \cite{Ketkar_2017,Chen_2018}.  
PyTorch is an end-to-end deep learning framework,  the user of PyTorch is already over tensorflow and keras in some period time, it also has complete and perfect documents and tutorials for getting started PyTorch from zero. More examples link  https://pytorch.org/tutorials/.

10.2.3  Brain.js

brain.js is a library of neural networks written in JavaScript.  
Front developing is the main and popular software method for display some context, actually, more programmer love JavaScript and use it to training some neural networks, what's more, JaveScript is also the very popular computer programming compared others. So the brain.js that is a deep learning library that based with JavaScript \cite{Wang_2016,van_der_Spuy_2012}.  In order to you can have a direct impression for brain.js, here is an example that can help you (Fig. 8), and more examples link https://github.com/BrainJS/brain.js/tree/master/examples.