namenu/tfjs-cljs

A ClojureScript wrapper library for TensorFlow.js

tfjs-cljs

A ClojureScript wrapper library for TensorFlow.js.

Usage

Add a dependency to your project.clj.

Example

Clojure idiomatic rewrite of linear regression example from #getting-started.

(def model
  (-> (models/sequential)
      (models/add (layers/dense {:units 1 :inputShape [1]}))
      (models/compile {:loss "meanSquaredError" :optimizer "sgd"})))

(let [xs     (tf/tensor2d [1 2 3 4] [4 1])
      ys     (tf/tensor2d [1 3 5 7] [4 1])]
  (.then (models/fit model xs ys config {:epochs 10})
         #(tf/print (models/predict model (tf/tensor2d [5] [1 1])))))

• mnist
• mobilenet

Should I use it?

No. This library only contains a subset of TensorFlow.js to the extent of my knowledge.

tfjs-cljs's Issues

Feature Request: Documentation on with-tidy

First of all, thank you so much for this. It is amazing how quickly you did this.
Can you please clarify a little more how in the docs what with-tidy is doing ?

Uncaught ReferenceError: tf is not defined

Not sure if there is a bug in your code but just having the library in my project.clj as

[namenu/tfjs-cljs "0.1.0-SNAPSHOT"]

and an import

(ns app.my.namespace
(:require [tfjs-cljs.core :as t :refer-macros [defvar with-tidy]]
            [tfjs-cljs.train :as train]))

i get the error above. I am actually trying to use this in a react-native app so there is not much of a message

ExceptionsManager.js:73 Error: Uncaught ReferenceError: tf is not defined
    at syncImportScripts (figwheel-bridge.js:133)
    at importJs (figwheel-bridge.js:150)
    at goog.writeScriptTag_ (figwheel-bridge.js:246)
    at Object.goog.importScript_ (base.js:951)
    at Object.goog.writeScripts_ (base.js:1394)
    at goog.require (base.js:706)
    at figwheel-bridge.js:217
    at syncImportScripts (figwheel-bridge.js:136)
    at importJs (figwheel-bridge.js:150)
    at figwheel-bridge.js:212

Node.js support