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machine learning - caffe loss is nan or 0 - Stack Overflow

https://stackoverflow.com/questions/40468983/caffe-loss-is-nan-or-0

I1107 15:07:28.381621 12333 solver.cpp:404] Test net output #0: loss = 3.37134e+11 (* 1 = 3.37134e+11 loss) I1107 15:07:28.549142 12333 solver.cpp:228] Iteration …


contrastive loss return nan loss at extreme values #1451

https://github.com/BVLC/caffe/issues/1451

shelhamer commented on Nov 27, 2014. Closing as this should be fixed by #1455 -- thanks @seanbell! shelhamer closed this as completed on Nov 27, 2014. shelhamer changed …


Contrastive Loss Explained. Contrastive loss has been …

https://towardsdatascience.com/contrastive-loss-explaned-159f2d4a87ec

We want the negative examples to be close to 0 , since any non-zero values will reduce the value of similar vectors. # Contrastive loss of the …


Got nan contrastive loss value after few epochs - PyTorch …

https://discuss.pytorch.org/t/got-nan-contrastive-loss-value-after-few-epochs/133404

Try to isolate the iteration which causes this issue and check the inputs as well as outputs to torch.pow.Based on your code I cannot find anything obviously wrong.


From the iteration 0,loss =NAN · Issue #5986 · BVLC/caffe

https://github.com/BVLC/caffe/issues/5986

1508138506 INFO: src/caffe/solver.cpp : line 218 : Iteration 1 (0.0163991 iter/s, 60.979s/1 iters), loss = nan 1508138506 INFO: src/caffe/solver.cpp : line 237 : Train net output …


I'm having a problem with constrative_loss file #9

https://github.com/mariolew/caffe-unpooling/issues/9

Good day, Please, I'm having a problem setting up the caffe, because I get an error from the constrative_loss file, is like their is something wrong with file and ...


Getting NaN for loss - General Discussion - TensorFlow …

https://discuss.tensorflow.org/t/getting-nan-for-loss/4826

Here is the code that is output NaN from the output layer (As a debugging effort, I put second code much simpler far below that works. In brief, here the training layers flow goes …


Getting Nan after first iteration with custom loss

https://discuss.pytorch.org/t/getting-nan-after-first-iteration-with-custom-loss/25929

Q = get_Q(labels_combined, labels_combined, batch_size) Z,ZZ,E = calculate_Z(torch.transpose(Hc,0,1),torch.transpose(Hs,0,1), Q, device, batch_size) Lr = …


Validation loss is nan · Issue #125 · AntonMu/TrainYourOwnYOLO

https://github.com/AntonMu/TrainYourOwnYOLO/issues/125

Hi @AntonMu i have not changed any of the code and tried and i did not get nan values. i even tried changing the classes to 4 in cfg file, and i did not get nan values. Thank you …


Why nan loss values are resulted through deep learning in python?

https://www.researchgate.net/post/Why_nan_loss_values_are_resulted_through_deep_learning_in_python

hist = model.fit (. X_train, Y_train, batch_size=32, epochs=5, validation_data= (X_val, Y_val) ) but in last model.hit stage i get zero accuracy and nan loss values from the fırst epoch. what is ...


Caffe for regression predicts extremely wrong values, but low loss?

https://groups.google.com/g/caffe-users/c/D652H9anWIM

I calculated the loss manually according to the formula listed under EuclideanLoss on the Caffe site (so 1/2m * sum of squared differences) , and I get a loss on the order of 10^6, …


Get "loss=nan" info at the very beginning; even when setting …

https://groups.google.com/g/caffe-users/c/LVfttqqMN1M

Test net output #0: accuracy = 0.44782. Test net output #1: loss = 0.720437 (* 1 = 0.720437 loss) Iteration 0, loss = nan. Train net output #0: loss = nan (* 1 = nan loss) Iteration …


Getting NaN loss values while training PatchCore model on …

https://github.com/openvinotoolkit/anomalib/issues/288

During training, loss value in the progress bar is shown as NaN. Why would this happen? Screenshots Epoch 0: 2%| Aggregating the embedding extracted from the training set.5/218 …


Nan Loss coming after some time - PyTorch Forums

https://discuss.pytorch.org/t/nan-loss-coming-after-some-time/11568

Here is a way of debuging the nan problem. First, print your model gradients because there are likely to be nan in the first place. And then check the loss, and then check the …


Caffe | Solver / Model Optimization - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/solver.html

If learning diverges (e.g., you start to see very large or NaN or inf loss values or outputs), try dropping the base_lr (e.g., base_lr: 0.001) and re-training, repeating this until you find a base_lr …


Keras Sequential model returns loss 'nan' - Data Science Stack …

https://datascience.stackexchange.com/questions/68331/keras-sequential-model-returns-loss-nan

I'm implementing a neural network with Keras, but the Sequential model returns nan as loss value. I have sigmoid activation function in the output layer to squeeze output between 0 and 1, but …


Contrasting contrastive loss functions | by Zichen Wang | Towards …

https://towardsdatascience.com/contrasting-contrastive-loss-functions-3c13ca5f055e

Max margin contrastive loss function takes a pair of embedding vectors z_i and z_j as inputs.It essentially equates the Euclidean distance between them if they have the same …


Understanding Ranking Loss, Contrastive Loss, Margin Loss, …

https://gombru.github.io/2019/04/03/ranking_loss/

To use a Ranking Loss function we first extract features from two (or three) input data points and get an embedded representation for each of them. Then, ... The loss value will …


Getting NaN values in backward pass (triplet loss function)

https://discuss.pytorch.org/t/getting-nan-values-in-backward-pass-triplet-loss-function/114408

Oh, it’s a little bit hard to identify which layer. nan can occur for some reasons but mainly it’s oftentimes 0/inf related maths. For example, in SCAN code ( SCAN/model.py at …


Caffe training iteration loss is -nan - Google Groups

https://groups.google.com/g/caffe-users/c/O8a6Has94bA

I'm trying to implement FCN-8s using my own custom data. While training, from scratch on the 20th iteration, I see that my loss = -nan. Could someone suggest what's going …


Get "loss=nan" info at the very beginning; even when setting …

https://groups.google.com/g/caffe-users/c/LVfttqqMN1M/m/9I5LTEJkJzgJ

btw, I've tried to use xavier for weight init and/or set bias to 0.1, but still got (loss=nan) at iteration 0... I'm really confused since I set the base_lr to 0 and the test part seems working well at …


Nan training and testing loss - PyTorch Forums

https://discuss.pytorch.org/t/nan-training-and-testing-loss/136115

When trying to use a LSTM model for regression, I find that I am getting NaN values when I print out training and testing loss. The DataFrame I pass into the model has no …


Caffe | Loss - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/loss.html

The final loss in Caffe, then, is computed by summing the total weighted loss over the network, as in the following pseudo-code: loss := 0 for layer in layers: for top, loss_weight in layer.tops, …


what is causes NaN values in the validation accuracy and loss …

https://www.mathworks.com/matlabcentral/answers/375090-what-is-causes-nan-values-in-the-validation-accuracy-and-loss-from-traning-convolutional-neural-n

so the information about validation and traning accuracy/loss are storage in the variable traininfo.. when i open this variable i found only the first value in iteration number 1 …


What can be the reason of loss=nan and accuracy = 0 in an ML …

https://www.quora.com/What-can-be-the-reason-of-loss-nan-and-accuracy-0-in-an-ML-model

Answer (1 of 3): The common reason for loss going to Nan can be loss value getting too big such that it crosses the limit of float. Generally, 32-bit float is used to represent float numbers, and …


Why does loss become Nan? – Technical-QA.com

https://technical-qa.com/why-does-loss-become-nan/

The reason for nan , inf or -inf often comes from the fact that division by 0.0 in TensorFlow doesn’t result in a division by zero exception. It could result in a nan , inf or -inf …


neural networks - Why does contrastive loss distinguish positive …

https://stats.stackexchange.com/questions/573582/why-does-contrastive-loss-distinguish-positive-from-negative-samples

The contrastive loss has 2 components: The positives should be close together, so minimize $\| f(A) - f(B) \|$.; The negative portion is less obvious, but the idea is that we want …


Caffe | Layer Catalogue - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers.html

The loss itself is computed by the forward pass and the gradient w.r.t. to the loss is computed by the backward pass. Layers: Multinomial Logistic Loss; Infogain Loss - a generalization of …


Contrastive Loss for Siamese Networks with Keras and TensorFlow

https://pyimagesearch.com/2021/01/18/contrastive-loss-for-siamese-networks-with-keras-and-tensorflow/

A value of 1 indicates that the two images in the pair are of the same class, while a value of 0 indicates that the images belong to two different classes. preds: The predictions …


Re-training SSD-Mobilenet: gt_locations consist of nan values …

https://forums.developer.nvidia.com/t/re-training-ssd-mobilenet-gt-locations-consist-of-nan-values-which-causing-regression-loss-to-nan/227840

Hi All, Im following the steps from the below link, I’m training SSD-Mobilenet Model on Bosch Small Traffic Lights Dataset. While training, my Avg Loss is reducing slowly but …


keras - SGD Optimizer NAN Loss - Data Science Stack Exchange

https://datascience.stackexchange.com/questions/61331/sgd-optimizer-nan-loss

I also used adam, it gives numeric loss and Stack Exchange Network Stack Exchange network consists of 182 Q&A communities including Stack Overflow , the largest, …

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