Speed up the design and implementation of deep learning solutions using Apache SparkKey FeaturesExplore the world of distributed deep learning with Apache SparkTrain neural networks with deep learning libraries such as BigDL and TensorFlowDevelop Spark deep learning applications to intelligently handle large and complex datasetsBook DescriptionDeep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark.The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning learn principles of distributed modeling and understand different types of neural nets. You will then implement deep learning models such as convolutional neural networks (CNNs) recurrent neural networks (RNNs) and long short-term memory (LSTM) on Spark.As you progress through the book you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book you will use popular deep learning frameworks such as TensorFlow Deeplearning4j and Keras to train your distributed models.By the end of this book you'll have gained experience with the implementation of your models on a variety of use cases.What you will learnUnderstand the basics of deep learningSet up Apache Spark for deep learningUnderstand the principles of distribution modeling and different types of neural networksObtain an understanding of deep learning algorithmsDiscover textual analysis and deep learning with SparkUse popular deep learning frameworks such as Deeplearning4j TensorFlow and KerasExplore popular deep learning algorithms Who this book is forIf you are a Scala developer data scientist or data analyst who wants to learn how to use Spark for implementing efficient deep learning models Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful. About the Author Guglielmo Iozzia is currently a big data delivery manager at Optum in Dublin. He completed his master's degree in biomedical engineering at the University of Bologna. After graduation he joined a start-up IT company in Bologna that had implemented a new system to manage online payments. There he worked on complex Java projects for different customers in different areas. He has also worked at the IT department of FAO an agency of the United Nations. In 2013 he had the chance to join IBM in Dublin. There he improved his DevOps skills working mostly on cloud-based applications. He is a golden member writes articles at DZone and maintains a personal blog to share his findings and thoughts about various tech topics.
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