Clojure wrapper for deeplearning4j with some added syntactic sugar.
What if I told you that you could do machine learning on the JVM without wanting to cry or set your hair on fire? The goal of this library is to be the most syntactically elegant machine learning library for Clojure/Java ecosystem. jutsu.ai uses Clojure specific code idioms, like Data as Code, to create an aesthetic and declarative api.
jutsu.ai makes use of my laziest but cleverest achievement which is that the network configuration translates clojure keywords into java method calls. The implication of this is that the majority of the config options provided by deeplearning4j are accessible with this library.
The best of all, no more snakes!
Currently this project is a work in progress. However, no drastic API changes are expected. Configurations have been tested on basic feedforward nets, RNN's, and CNN's. If you can't seem to find a configuration feature you are looking for submit an issue and I'll do my best to help.
If you have any suggestions or fixes please feel free to submit a PR as well!
Currently need help documenting the different configuration options. However, deeplearning4j has a very good resource that I recommend checking out.
Install jutsu.ai by including this in your project dependencies:
You will also need to include a ND4J backend:
Here is a toy example demonstrating classifying the well known iris dataset.
(ns skynet.core (:require [jutsu.ai.core :as ai])) ;;Example configuration of a simple multilayer feedforward neural network architecture ;;classifying the iris dataset. (def iris-net-config [:layers [[:dense [:n-in 4 :n-out 10 :activation :relu]] [:dense [:n-in 10 :n-out 10 :activation :relu]] [:output :negative-log-likelihood [:n-in 10 :n-out 3 :activation :softmax]]]]) (def iris-net (-> iris-net-config ai/network ai/initialize-net)) (defn iris-train  (let [iris-iterator (ai/classification-csv-iterator "iris.csv" 150 4 3)] (-> iris-net (ai/train-net! 200 iris-iterator) (ai/save-model "iris-model")) (.reset iris-iterator) (println (ai/evaluate iris-net iris-iterator)))) (iris-train)
Make sure to take a look at the wiki for more documentation.
Here is a video tutorial I made demonstrating the use of jutsu.ai.
Here is a list of libraries that I have created to be used with jutsu.ai:
Here is a list of libraries that I've found useful when working with jutsu.ai:
boot night to startup nightlight and begin editing the project in a browser.
When changing project dependencies or project version number, make sure to update this in the build.boot file. The Travis build uses boot, and will not pass the checks unless you update it.
The project.clj file is simple there to make it easier for other developers to contribute.
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.