Skip to Main Content
Hands-On Deep Learning with Apache Spark
book

Hands-On Deep Learning with Apache Spark

by Guglielmo Iozzia
January 2019
Intermediate to advanced content levelIntermediate to advanced
322 pages
7h 29m
English
Packt Publishing
Content preview from Hands-On Deep Learning with Apache Spark

DL4J implementation

The second implementation of object recognition we are going to do is in Scala and involves the DL4J framework. To train and evaluate the model, we are still going to use the CIFAR-10 dataset. The dependencies for this project are a DataVec data image, DL4J, NN, and ND4J, plus Guava 19.0 and Apache commons math 3.4.

If you look at the CIFAR-10 dataset download page (see the following screenshot), you can see that there are specific archives available for the Python, MatLab, and C programming languages, but not for Scala or Java:

Figure 13.11: The CIFAR-10 dataset download page

There's no need to separately download and ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More

Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More

Butch Quinto
Apache Spark Deep Learning Cookbook

Apache Spark Deep Learning Cookbook

Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood

Publisher Resources

ISBN: 9781788994613Supplemental Content