I use Mask-R-CNN to train my data with it. When i use TensorBoard to see the result, i have the loss, mrcnn_bbox_loss, mrcnn_class_loss, mrcnn_mask_loss, rpn_bbox_loss, rpn_class_loss and all the s...

My question is similar to the one posed here: keras combining two losses with adjustable weights However, the outputs have a different dimensionality resulting in the outputs not being able to be ...

Can anyone please explain in simple words and possibly with some examples what is a loss function in the field of machine learning/neural networks? This came out while I was following a Tensorflow...

As an input a have a float 1.0 or 0.0. When I try to predict with my model and the sparse_categorical_crossentropy loss I get something like: [[0.4846592 0.5153408]]. How do I know what category ...

I have unbalanced training dataset, thats why I built custom weighted categorical cross entropy loss function. But the problem is my validation set is balanced one and I want to use the regular cat...

There are no errors when saving or restoring. The weights appear to have restored correctly. I am trying to build my own minimal character level RNN by following karpathy/min-char-rnn.py, sherjilo...

GAN originally proposed by IJ Goodfellow uses following loss function, D_loss = - log[D(X)] - log[1 - D(G(Z))] G_loss = - log[D(G(Z))] So, discriminator tries to minimize D_loss and generator t...

I have the following problem: I have an autoencoder in Keras, and train it for a few epochs. The training overview shows a validation MAE of 0.0422 and an MSE of 0.0024. However, if I then call n...

I am training encoder-decoder attention-based model, with batch size 8. I don't suspect too much noise in the dataset, however the examples come from a few different distributions. I can see a lot...

I am learning neural networks and I built a simple one in Keras for the iris dataset classification from the UCI machine learning repository. I used a one hidden layer network with a 8 hidden nodes...

I was working on a .js file this morning on Notepad++, as usual, when the program just crashed. So I ended it, and re-opened it to see that all my code lines in my .js file, had disappeared, and no...

I am implementing a custom loss function in keras. The model is an autoencoder. The first layer is an Embedding layer, which embed an input of size (batch_size, sentence_length) into (batch_size, s...

maybe someone is able to help me here. I am trying to compute the cross entropy loss of a given output of my network print output Variable containing: 1.00000e-02 * -2.2739 2.9964 -7.8353 7.4667 4...

I am trying to implement a simple gender classifier using deep convolutional neural networks using tensorflow. I have found this model and implemented it. def create_model_v2(data): cl1_desc = {'...

I want to write a simple autoencoder in PyTorch and use BCELoss, however, I get NaN out, since it expects the targets to be between 0 and 1. Could someone post a simple use case of BCELoss?

I need to minimize KL loss in tensorflow. I tried this function tf.contrib.distributions.kl(dist_a, dist_b, allow_nan=False, name=None), but I failed. I tried to implement it manually: def kl_di...

i started writing Neuronal Networks with tensorflow and there is one Problem i seem to face in each of my example Projects. My loss allways starts at something like 50 or higher and does not decre...

I'm getting the problem of non-converged training loss. (batchsize: 16, average loss:10). I have tried with the following methods + Vary the learning rate lr (initial lr = 0.002 cause very high lo...

I prepared several models for binary classification of documents in the fraud field. I calculated the log loss for all models. I thought it was essentially measuring the confidence of the predictio...

I just applied the log loss in sklearn for logistic regression: http://scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html My code looks something like this: def perform_cv(cl...

I'd like to garner fellow SO'ers experience with regards to the issue of UDP packet loss (or drop-out). Initially my understanding is that given direct point to point connections where the NICs ar...