Our tensor library has a python interface in the making:
Our goal with this will be then to write side by side benchmarks with the other libs that people can easily run.
We know a lot of folks from python land won't jump over and we don't expect them to. The hope is that we're equivalent and can integrate better with a big data cluster.
Dl4j is not trying to be TF. When I started dl4j 4 years ago, it was theano and torch as the primary frameworks.
I wrote it for deployment in to production apps and for the hadoop/spark ecosystem.
We will continue that going forward at the eclipse foundation as well as using dl4j in our product.
Please check out the oreilly book as well (currently #2 on amazon right next to the goodfellow book):
https://amazon.com/Deep-Learning-Practitioners-Josh-Patterso...Email in profile if there's any specific questions.
Email in profile if there's any specific questions.
It's the least mathy book you'll find and doesn't really assume any math knowledge. Much of it is more focused on production.