Use this tag for programming-related questions about the softmax function, also known as the normalized exponential function.
I'm trying to apply the concept of distillation, basically to train a new smaller network to do the same as …
python tensorflow keras softmax loss-functionWhen I use this it does not give any error out_layer = tf.add(tf.matmul(layer_4 , weights['out']) , biases[…
python-2.7 keras softmaxI am using a Softmax activation function in the last layer of a neural network. But I have problems with …
c++ math neural-network softmaxI have noticed that tf.nn.softmax_cross_entropy_with_logits_v2(labels, logits) mainly performs 3 operations: Apply softmax to …
python tensorflow machine-learning softmax cross-entropyI trained CNN model for just one epoch with very little data. I use Keras 2.05. Here is the CNN model's (…
keras softmaxedit: A more pointed question: What is the derivative of softmax to be used in my gradient descent? This is …
matlab machine-learning neural-network softmaxWhich dimension should softmax be applied to ? This code : %reset -f import torch.nn as nn import numpy as np …
python deep-learning pytorch softmaxI am trying to compute the derivative of the activation function for softmax. I found this : https://math.stackexchange.com/…
neural-network derivative calculus softmaxMost examples of neural networks for classification tasks I've seen use the a softmax layer as output activation function. Normally, …
machine-learning neural-network classification softmax activation-functionI am currently trying to reproduce the results of the following article. http://karpathy.github.io/2015/05/21/rnn-effectiveness/ I am using …
python neural-network theano keras softmax