I'm required to be able to calculate the error on a given neuron in a neural network using Tensorflow.
Using this :
mse = tf.reduce_mean(tf.squared_difference(out, Y)) opt = tf.train.GradientDescentOptimizer(0.1).minimize(mse)
i just get the updated weight, how i can get or calculate the error for each neuron in my network.
Thanks for the replies.