zhuang16384/ml-sample

a machine learn sample by clojure from 《深度学习的数学》 sample program by excel

ml-samples

A Clojure library show a basic machine learn workflow.

Usage

start into repl:

lein repl

load dataset:

(def dataset (load-all-data))

load t-values:

(def t-all (load-t "resources/t.csv"))

create random network:

(def network (n/create-network 12 3 2))

define a eta

(def eta 0.2)

train and generate new network, you will see the cost being down to zero:

(def new-network (learn dataset t-all network eta 0.1))

test new network:

(into (sorted-map)
      (map #(vector (key %) (->> % val last (map :a) n/binary-pair))
           results))

License

Copyright © 2019 FIXME

This program and the accompanying materials are made available under the terms of the Eclipse Public License 2.0 which is available at http://www.eclipse.org/legal/epl-2.0.

This Source Code may also be made available under the following Secondary Licenses when the conditions for such availability set forth in the Eclipse Public License, v. 2.0 are satisfied: GNU General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version, with the GNU Classpath Exception which is available at https://www.gnu.org/software/classpath/license.html.