Tf.reduce_mean(y_true,y_predicted)

with tf.name_scope("MSE"):
    y_true = tf.placeholder("float32", shape=(None,), name="y_true")
    y_predicted = tf.placeholder("float32", shape=(None,), name="y_predicted")
    # Your code goes here
    mse = tf.reduce_mean((y_predicted - y_true)**2)
    
def compute_mse(vector1, vector2):
    return mse.eval({y_true: vector1, y_predicted: vector2})

Source: aadimator.github.io

Similar codes

54 votes355 views6 answers
Css ellipsis
CSS
0 vote339 views3 answers
Css how to make 2d animations at once
CSS
57 votes377 views2 answers
Hegith specific css in media query
CSS
1 vote390 views1 answer
Grid rows css
CSS
1 vote404 views1 answer
Timesheet template html css
CSS
0 vote345 views1 answer
How to make textbox shorter in html
CSS
9 votes378 views3 answers
Grid repeat css
CSS
11 votes396 views2 answers
Scss include
CSS
0 vote361 views1 answer
Css background text clip
CSS
1 vote419 views2 answers
Css button style rectangle
CSS