In the previous chapter, we already discussed various deep learning frameworks - in this chapter, we will discuss a little more in detail about one, in particular, Keras, while also exploring how we can use deep learning with spaCy.
During our attempts at text generation, we already used Keras, but did not explain the motivation behind using the library, or indeed even how or why we constructed our model the way we did. We will attempt to demystify this, as well as set up a neural network model that will aid us in text classification.
In our brief review of the various deep learning frameworks available in Python, we described Keras as a high-level library which allows us to easily construct neural networks.
Fig 14.1 The arXiv mentions of Keras. arXiv is a website where researchers upload research papers before it is accepted by a journal. Here, the x-axes are the different Python deep learning libraries, and the y-axis is the number of references of that library by the papers...
