e123d531b5ae9fda0846a34c4800d47ecfe5fd2b,models/SingleLayerCAE.py,SingleLayerCAE,loss,#SingleLayerCAE#Any#Any#,80

Before Change


            // 1/2n \sum^{n}_{i=i}{(x_i - x"_i)^2}
            mse = tf.reduce_mean(
                tf.nn.l2_loss(
                    tf.cast(predictions, tf.float32) - tf.cast(real_values,
                                                               tf.float32)),
                name="mse")
            tf.add_to_collection("losses", mse)

After Change


        with tf.variable_scope("loss"):
            // 1/2n \sum^{n}_{i=i}{(x_i - x"_i)^2}
            mse = tf.div(tf.reduce_mean(
                tf.square(tf.subtract(predictions, real_values))),
                         2,
                         name="mse")
            tf.add_to_collection("losses", mse)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: galeone/dynamic-training-bench
Commit Name: e123d531b5ae9fda0846a34c4800d47ecfe5fd2b
Time: 2016-12-12
Author: nessuno@nerdz.eu
File Name: models/SingleLayerCAE.py
Class Name: SingleLayerCAE
Method Name: loss


Project Name: kundajelab/dragonn
Commit Name: 6ca849c6c7fc3ce9f725813fb9b130ed53e4e362
Time: 2019-07-04
Author: annashcherbina@gmail.com
File Name: dragonn/custom_losses.py
Class Name:
Method Name: ambig_mean_squared_error


Project Name: jostmey/rwa
Commit Name: 66de7491bd7e16a072e2d1302df1f88c277dae2e
Time: 2017-04-04
Author: jostmey@gmail.com
File Name: adding_problem_100/rwa_model/train.py
Class Name:
Method Name: