The theory behind deep learning began as early as the 1940s. However, its popularity has soared in recent years thanks in part to improvements in computing hardware technology, smarter algorithms, and the adoption of deep learning frameworks. There is much to cover beyond this book. This section serves as a quick guide to gain a working knowledge for following the examples that we will cover in later parts of this chapter.
A brief introduction to deep learning
What is deep learning ?
In Chapter 10, Machine Learning for Finance, we learned how machine learning is useful for making predictions. Supervised learning uses error-minimization techniques to fit a model with training data, and can be regression based or classification...
