This is the implementation of tf.nn.softmax_cross_entropy_with_logits, a function in tensoflow to compute the Cross_entropy loss with softmax classifier. Official Documentation for tf.nn.softmax_cross ...

BCE is used to compute the cross-entropy between the true labels and predicted outputs ... y_true = [1, 2] y_pred = [[0.05, 0.95, 0], [0.1, 0.8, 0.1]] loss = ...

The cost of CNN baseline is the sum of cross entropy and l2 loss. Notice the CE loss is more sensitive than the marginal loss. Tensor neuron (aka ... partially due to a simpler implementation that ...