Log In
Or create an account ->
Imperial Library
Home
About
News
Upload
Forum
Help
Login/SignUp
Index
Title Page
Copyright and Credits
Hands-On Deep Learning with Apache Spark
About Packt
Why subscribe?
Packt.com
Contributors
About the author
About the reviewer
Packt is searching for authors like you
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
The Apache Spark Ecosystem
Apache Spark fundamentals
Getting Spark
RDD programming
Spark SQL, Datasets, and DataFrames
Spark Streaming
Cluster mode using different managers
Standalone mode
Mesos cluster mode
YARN cluster mode
Submitting Spark applications on YARN
Kubernetes cluster mode
Summary
Deep Learning Basics
Introducing DL
DNNs overview
CNNs
RNNs
Practical applications of DL
Summary
Extract, Transform, Load
Training data ingestion through Spark
The DeepLearning4j framework
Data ingestion through DataVec and transformation through Spark
Training data ingestion from a database with Spark
Data ingestion from a relational database
Data ingestion from a NoSQL database
Data ingestion from S3
Raw data transformation with Spark
Summary
Streaming
Streaming data with Apache Spark
Streaming data with Kafka and Spark
Apache Kakfa
Spark Streaming and Kafka
Streaming data with DL4J and Spark
Summary
Convolutional Neural Networks
Convolutional layers
Pooling layers
Fully connected layers
Weights
GoogleNet Inception V3 model
Hands-on CNN with Spark
Summary
Recurrent Neural Networks
LSTM
Backpropagation Through Time (BPTT)
RNN issues
Use cases
Hands-on RNNs with Spark
RNNs with DL4J
RNNs with DL4J and Spark
Loading multiple CSVs for RNN data pipelines
Summary
Training Neural Networks with Spark
Distributed network training with Spark and DeepLearning4j
CNN distributed training with Spark and DL4J
RNN distributed training with Spark and DL4J
Performance considerations
Hyperparameter optimization
The Arbiter UI
Summary
Monitoring and Debugging Neural Network Training
Monitoring and debugging neural networks during their training phases
8.1.1 The DL4J training UI
8.1.2 The DL4J training UI and Spark
8.1.3 Using visualization to tune a network
Summary
Interpreting Neural Network Output
Evaluation techniques with DL4J
Evaluation for classification
Evaluation for classification – Spark example
Other types of evaluation
Summary
Deploying on a Distributed System
Setup of a distributed environment with DeepLearning4j
Memory management
CPU and GPU setup
Building a job to be submitted to Spark for training
Spark distributed training architecture details
Model parallelism and data parallelism
Parameter averaging
Asynchronous stochastic gradient sharing
Importing Python models into the JVM with DL4J
Alternatives to DL4J for the Scala programming language
BigDL
DeepLearning.scala
Summary
NLP Basics
NLP
Tokenizers
Sentence segmentation
POS tagging
Named entity extraction (NER)
Chunking
Parsing
Hands-on NLP with Spark
Hands-on NLP with Spark and Stanford core NLP
Hands-on NLP with Spark NLP
Summary
Textual Analysis and Deep Learning
Hands-on NLP with DL4J
Hands-on NLP with TensorFlow
Hand-on NLP with Keras and a TensorFlow backend
Hands-on NLP with Keras model import into DL4J
Summary
Convolution
Convolution
Object recognition strategies
Convolution applied to image recognition
Keras implementation
DL4J implementation
Summary
Image Classification
Implementing an end-to-end image classification web application
Picking up a proper Keras model
Importing and testing the model in DL4J
Re-training the model in Apache Spark
Implementing the web application
Implementing a web service
Summary
What's Next for Deep Learning?
What to expect next for deep learning and AI
Topics to watch for
Is Spark ready for RL?
DeepLearning4J future support for GANs
Summary
Appendix A: Functional Programming in Scala
Functional programming (FP)
Purity
Recursion
Appendix B: Image Data Preparation for Spark
Image preprocessing
Strategies
Training
Other Books You May Enjoy
Leave a review - let other readers know what you think
← Prev
Back
Next →
← Prev
Back
Next →