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Replace reduce_sum by reduce_mean for MSE (rather than SSE) error.

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Aurélien Geron
2017-02-02 18:51:54 +01:00
parent 30ca2b86d7
commit ba100cde2a
1 changed files with 2 additions and 2 deletions
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4
15_autoencoders.ipynb
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@@ -208,7 +208,7 @@
"hidden = fully_connected(X, n_hidden, activation_fn=None)\n", "hidden = fully_connected(X, n_hidden, activation_fn=None)\n",
"outputs = fully_connected(hidden, n_outputs, activation_fn=None)\n", "outputs = fully_connected(hidden, n_outputs, activation_fn=None)\n",
"\n", "\n",
"mse = tf.reduce_sum(tf.square(outputs - X))\n", "mse = tf.reduce_mean(tf.square(outputs - X))\n",
"\n", "\n",
"optimizer = tf.train.AdamOptimizer(learning_rate)\n", "optimizer = tf.train.AdamOptimizer(learning_rate)\n",
"training_op = optimizer.minimize(mse)\n", "training_op = optimizer.minimize(mse)\n",
@@ -1568,7 +1568,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.5.1" "version": "3.5.2+"
}, },
"nav_menu": { "nav_menu": {
"height": "381px", "height": "381px",