We are almost there: my "Hands-On Deep Learning with Apache Spark" book, Packt Publishing, is going to be available by the end of this month:
https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-apache-spark
In this book I try to address the sheer complexity of the technical and analytical parts, and the speed at which Deep Learning solutions can be implemented on Apache Spark.
The book starts explaining the fundamentals of Apache Spark and Deep Learning. Then it details how to set up Spark for performing DL and the principles of distributed modelling and different types of neural nets. Example of implementation of DL models like CNN, RNN, LSTM on Spark are presented. A reader should get a hands-on experience of what it takes and a general feeling of the complexity he/she would deal with. During the course of the book, some popular DL frameworks such as DL4J, Keras and TensorFlow are used to train distributed models.
The main goal of the book is to give readers experience with implementations of their own models on a variety of use-cases.
https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-apache-spark
In this book I try to address the sheer complexity of the technical and analytical parts, and the speed at which Deep Learning solutions can be implemented on Apache Spark.
The book starts explaining the fundamentals of Apache Spark and Deep Learning. Then it details how to set up Spark for performing DL and the principles of distributed modelling and different types of neural nets. Example of implementation of DL models like CNN, RNN, LSTM on Spark are presented. A reader should get a hands-on experience of what it takes and a general feeling of the complexity he/she would deal with. During the course of the book, some popular DL frameworks such as DL4J, Keras and TensorFlow are used to train distributed models.
The main goal of the book is to give readers experience with implementations of their own models on a variety of use-cases.
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