Deep Learning: A Practitioner’s Approach

Patterson Consulting, a solution integrator at the convergence of big data and applied machine learning, is led by Josh Patterson. In this job, he adds a unique viewpoint to Fortune 500 initiatives, combining a decade of big data knowledge with extensive deep learning skills. Josh led the integration of Apache Hadoop for large-scale data storage and processing of smart grid phasor measurement unit (PMU) data at the Tennessee Valley Authority (TVA).

Adam Gibson is a deep learning expert based in San Francisco who works on machine learning projects for Fortune 500 corporations, hedge funds, public relations agencies, and startup accelerators. Adam has a proven track record of assisting businesses in managing and interpreting large amounts of real-time data.

Even though interest in machine learning is at an all-time high, unrealistic expectations frequently sabotage projects before they even get off the ground. How might machine learning, particularly deep neural networks, help your company succeed? This practical guide not only gives you the most up-to-date information on the subject but also shows you how to get started developing effective deep learning networks.

Before providing their open-source Deeplearning4j (DL4J) toolkit for constructing production-class workflows, authors Adam Gibson and Josh Patterson provide theory on deep learning. You'll cover methods and tactics for training deep network architectures and performing deep learning workflows on Spark and Hadoop with DL4J using real-world applications.

What you will learn:

  • Dive into the fundamentals of machine learning in general, as well as deep learning in particular.
  • Learn how deep networks arose from the foundations of neural networks.
  • Examine the most common deep network architectures, such as convolutional and recurrent networks.
  • Discover how to apply specific deep networks to specific problems.
  • Learn how to tune general neural networks and particular deep network architectures from the ground up.
  • With DataVec, DL4J's workflow tool, you may use vectorization techniques for various data formats.
  • Learn how to use DL4J on Spark and Hadoop natively.

Authors: Josh Patterson & Adam Gibson

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