Hands-On Deep Learning with Apache Spark
Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.
Offered by
Difficulty Level
Intermediate
Completion Time
10h44m
Language
English
About Book
Who Is This Book For?
If 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.
Hands-On Deep Learning with Apache Spark
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h44m total length
The Apache Spark Ecosystem
Deep Learning Basics
Extract, Transform, Load
Streaming
Convolutional Neural Networks
Recurrent Neural Networks
Training Neural Networks with Spark
Monitoring and Debugging Neural Network Training
Interpreting Neural Network Output
Deploying on a Distributed System
NLP Basics
Textual Analysis and Deep Learning
Convolution
Image Classification
What’s Next for Deep Learning?
Related Resources
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