Overall this book is more about practical techniques and python code (in Keras) than about deep learning math/theory. This is probably what the majority of readers are looking for. It’s a great synthesis of the most important techniques now (start of 2018), which is hard to get just from reading papers.
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Deep learning has become an ever-growing part of the machine learning family. Part of its growth can be accredited to its compatibility with Python , a high-level programming language that’s also been rising in popularity since its creation in 1991.28 Tem 2021
Read moreWhich is better for deep learning R or Python?
If you are looking for statistical learning and data exploration, R will be a good match . Or, if you are looking for building large scale, production ready, machine learning applications, Python will be the best match.
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