September 2019
Intermediate to advanced
416 pages
13h 49m
English
In Part I, we provided a high-level overview of deep learning by demonstrating its use across a spectrum of cutting-edge applications. Along the way, we sprinkled in foundational deep learning concepts from its hierarchical, representation-learning nature through to its relationship to the field of artificial intelligence. Repeatedly, as we touched on a concept, we noted that in Part II of the book we would dive into the low-level theory and mathematics behind it. While we promise this is true, we are going to take this final opportunity to put the fun, hands-on coding cart ahead of the proverbial—in this case, theory-laden—horse.
In this chapter we do a line-by-line walk-through of a notebook of ...