In TF 2.x, if the `tf.nn.softmax` is used as an activation function in Keras. # layers, it gets serialized as 'softmax_v2' instead of 'softmax' as the. ... <看更多>

The sigmoid might work. But I suggest using relu activation for hidden layers' activation. The problem is, your output layer's activation is ... ... <看更多>

The idea behind activation maximization is simple in hindsight - Generate an input image that maximizes the filter output activations. i.e., we compute. ... <看更多>

import tensorflow as tf class MultSigmoid(tf.keras.layers.Layer): def __init__(self): super(MultSigmoid, self).__init__() def call(self, ... ... <看更多>