By Josh Patterson,Adam Gibson
Although curiosity in computer studying has reached a excessive aspect, lofty expectancies usually scuttle initiatives ahead of they get very a long way. How can laptop learning—especially deep neural networks—make a true distinction on your association? This hands-on consultant not just presents the main sensible details to be had at the topic, but in addition is helping you start development effective deep studying networks.
Authors Adam Gibson and Josh Patterson offer idea on deep studying prior to introducing their open-source Deeplearning4j (DL4J) library for constructing production-class workflows. via real-world examples, you’ll examine equipment and methods for education deep community architectures and working deep studying workflows on Spark and Hadoop with DL4J.
- Dive into computer studying techniques generally, in addition to deep studying in particular
- Understand how deep networks advanced from neural community fundamentals
- Explore the key deep community architectures, together with Convolutional and Recurrent
- Learn easy methods to map particular deep networks to the suitable problem
- Walk during the basics of tuning normal neural networks and particular deep community architectures
- Use vectorization innovations for various facts varieties with DataVec, DL4J’s workflow tool
- Learn how one can use DL4J natively on Spark and Hadoop
Read Online or Download Deep Learning: A Practitioner's Approach PDF
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