All Questions
8 questions
1
vote
3
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5k
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RuntimeError: weight tensor should be defined either for all 1000 classes or no classes but got weight tensor of shape: [5]
I'm trying to use VGG16 for ** 5 classes data set**.
I've already added 5 new layers to adjust the output for logit as 5.
model = models.vgg16(pretrained=True) #Downloads the vgg16 model which is ...
- 53
0
votes
1
answer
358
views
1. Weighted Loss in CrossEntropyLoss() 2. Combination of WeightedRandomSampler and subsampler
I wanted to implement class weights to my 3 class classification problem.
Tried by just directly adding the weights, which gives me an error when passing my model output and the labels to my loss
...
- 131
0
votes
0
answers
101
views
AttributeError when trying to calculate Spare Categorical Crossentropy loss on predictions
I'm building a deep learning model in python with keras with multiple inputs, but only one categorical output. The data is suffering class imbalance so I need to use integer coded output categories ...
- 55
-1
votes
1
answer
814
views
Tensorflow image classification binary crossentropy loss is negative
I'm new to Tensorflow. I followed some tutorials with a provided dataset and wanted to try something on my own. I decided I'd try to classify Magic the Gathering sets. Each card has a symbol in ...
- 59
1
vote
1
answer
186
views
What model (loss function, etc) can be used in Keras regarding to categorical training with probability labels instead of one-hot encoding
I came to a problem when designing my keras model.
The training data(input) to the model is 2 sequential character-encoded lists and a non-sequential normal feature list. The output is a list of ...
- 11
8
votes
2
answers
12k
views
Why does sigmoid & crossentropy of Keras/tensorflow have low precision?
I have the following simple neural network (with 1 neuron only) to test the computation precision of sigmoid activation & binary_crossentropy of Keras:
model = Sequential()
model.add(Dense(1, ...
- 1,187
2
votes
1
answer
391
views
What is the difference between CrossEntropy and NegativeLogLikelihood in MXNet?
I was trying to evaluate my classification models with log-loss metric using mxnet.metric module.
I came across two classes: CrossEntropy and NegativeLogLikelihood which have the same definition and ...
- 182
11
votes
3
answers
13k
views
Keras: binary_crossentropy & categorical_crossentropy confusion
After using TensorFlow for quite a while I have read some Keras tutorials and implemented some examples. I have found several tutorials for convolutional autoencoders that use keras.losses....
- 11k