January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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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 ...
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