Deep Learning notebook walkthrough in Clojure

Great question. I, (and other people from the Clojure community) think that the Clojure language has a lot to offer to the Deep Learning/ Machine Learning space.

Step 1 - Build bridges to other Deep Learning communities using Jupyter notebooks, etc.

Step 2 - Bring innovation. In this area I see Clojure particularly useful in joining the symbolic logic and the deep learning model realms.

Step 3 - TBD (Depending on how the various time lines shake out to the singularity ;) )