On a related note, there's a Clojure API for MXNet (another major deep learning framework).

https://mxnet.incubator.apache.org/api/clojure/index.html

Thanks, that looks very good. Unfortunately Clojure and I don’t really click. I have about two years professional experience with Clojure but except for my site http://Cookingspace.com I don’t much use Clojure for personal projects. I prefer Common Lisp. For functional programming, I would substitute Haskell for Clojure except my Haskell skills are so-so.

Interesting, what do you mean by saving Keras models and converting to Racket?

Saved Keras model meta data and weights, wrote Racket code to read weights, use low level matrix library, relu , sigmoid, to use trained models. So, just use TensorFlow for training.

This works, but the performance was not great. I want something more robust and performant.