Created
August 18, 2017 01:35
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#! /usr/bin/env hy | |
(import [tensorflow :as tf]) | |
(def W (tf.Variable [.3] tf.float32)) | |
(def b (tf.Variable [-0.3] tf.float32)) | |
(def x (tf.placeholder tf.float32)) | |
(def linear-model (+ (* W x) b)) | |
(def y (tf.placeholder tf.float32)) | |
(def loss (tf.reduce_sum (tf.square (- linear-model y)))) | |
(def loss (tf.reduce_sum (tf.square (- linear-model y)))) | |
(def optimizer (tf.train.GradientDescentOptimizer 0.01)) | |
(def train (optimizer.minimize loss)) | |
(def x-train [1 2 3 4]) | |
(def y-train [0 -1 -2 -3]) | |
(def init (tf.global_variables_initializer)) | |
(def sess (tf.Session)) | |
(sess.run init) | |
(for [i (range 1000)] (sess.run train {x x-train y y-train})) | |
(sess.run [W b loss] {x x-train y y-train}) | |
(def results (sess.run [W b loss] {x x-train y y-train})) | |
(print (.format "W: {0} b: {1} loss: {2}" (first results) (second results) (last results))) |
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