March 2020
Beginner to intermediate
342 pages
8h 38m
English
The third part of this book is all about deep learning, the major breakthrough in modern artificial intelligence. “Deep learning” means a few different things, but first and foremost, it stands for “neural networks with many layers.” Deeper networks have more sophisticated models than shallow networks—so they’re able to generate more complicated functions to approximate data.
Later on, you’ll see that there is more to deep learning than adding layers. Deep learning is actually a set of interconnected techniques with intimidating names such as “convolutions,” “recurrent neural networks,” and “generational adversarial networks.” By the end of this book, you’ll have a better idea of those techniques, and you’ll ...
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