Looking for one central source where you can
learn key findings on machine learning? Deep Learning: The Definitive
Guide provides developers and data scientists with the most practical
information available on the subject, including deep learning theory, best
practices, and use cases.
Authors Adam Gibson and Josh Patterson present
the latest relevant papers and techniques in a nonacademic manner, and
implement the core mathematics in their DL4J library. If you work in the
embedded, desktop, and big data/Hadoop spaces and really want to understand
deep learning, this is your book.
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