Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
- Dive into machine learning concepts in general, as well as deep learning in particular
- Understand how deep networks evolved from neural network fundamentals
- Explore the major deep network architectures, including Convolutional and Recurrent
- Learn how to map specific deep networks to the right problem
- Walk through the fundamentals of tuning general neural networks and specific deep network architectures
- Use vectorization techniques for different data types with DataVec, DL4J's workflow tool
- Learn how to use DL4J natively on Spark and Hadoop
Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
- Dive into machine learning concepts in general, as well as deep learning in particular
- Understand how deep networks evolved from neural network fundamentals
- Explore the major deep network architectures, including Convolutional and Recurrent
- Learn how to map specific deep networks to the right problem
- Walk through the fundamentals of tuning general neural networks and specific deep network architectures
- Use vectorization techniques for different data types with DataVec, DL4J's workflow tool
- Learn how to use DL4J natively on Spark and Hadoop
![Deep Learning: A Practitioner's Approach](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Deep Learning: A Practitioner's Approach
530![Deep Learning: A Practitioner's Approach](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.11.4)
Deep Learning: A Practitioner's Approach
530Product Details
ISBN-13: | 9781491914250 |
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Publisher: | O'Reilly Media, Incorporated |
Publication date: | 08/20/2017 |
Pages: | 530 |
Product dimensions: | 7.00(w) x 9.10(h) x 1.20(d) |