October 2018
Intermediate to advanced
472 pages
10h 57m
English
The following six Python deep learning projects, focusing on CV, represent the largest portion of the content of this book. We've already seen how some of the deep learning technologies we explore in detail, with reference to CV, have some applicability to other types of data, and in particular, to text-based data. In no small part, that is because of the enormous utility of CNNs in feature extraction and hierarchical representation. There is no magic tool that is perfect for all jobs—being a deep learning engineer in data science is no exception. But you should not underestimate the familiarity you'll get with CNNs, as you'll find yourself using them time and again, across many different datasets ...
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