All Questions
Tagged with pytorch classification
14 questions with no upvoted or accepted answers
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Why do we use squeeze(1) at this model definition with PyTorch?
PyTorch noobie here. I'm following an online tutorial and there's a simple model definition as follows:
...
- 468
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24
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Classifying data that seems non linear
The data I am using specifies a series Cartesian coordinates, and velocities and there will be solutions that are fairly closely plotted for all of these... however it also utilizes rotations and the ...
- 41
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2
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105
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Classification with a lot of the classes
I’m trying to make model which will classify text into about 500 different classes. I think that I have to customize architecture of the Pooling Classifier which looks now like this:
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- 71
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125
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What’s more appropriate for outlier detection? Classification or Regression?
I'm using PyTorch and i’m working on a data set where I only care about “outliers” from the norm. The data is comprised of long time series with gaussian distribution, while once in a while there is a ...
- 807
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482
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Global average polling without fc layer, Vanishing gradient or other problem?
I have built this network with pytorch, it's basically a modification of VGG16, I add some layers and remove some. The output of the network are meant to be softmax scores for F.multilabel-soft-margin-...
- 113
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My network to classify dialects is not working
I have written the following code to classify dialects based on the timit dataset using .wav files. For some reason my model is not learning and classifies everything into the same class. Is it ...
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28
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Cross entropy loss for multi classification problem
I am handling a multi-class classification problem, with label in the following form [1333201000]
and the logit output of the model is in the form
([[ 0.4523, 0.0198, -0.1911, -0.0036],
[ 0.4917, 0....
- 1
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17
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Training the neural network does not give the expected result
I'm trying to create a pytorch neural network capable of recognizing peaks in 2D graphs. Previously, I was able to get a result close to what I wanted, but it was not ideal and did not give a ...
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Relationship among different classifiers of a model in multiclass problems
Suppose we are fitting a LogisticRegression model with scikit-learn, or the same model with pytorch. In multiclass problems, the strategy OneVsRest will fit a different classifier for each of the ...
- 229
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881
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How can I improve the accuracy of my pytorch neural network for classification of tabular data?
As a newbie in 'pytorch', I am building a neural network for classification of faulty water pumps in Tazania for this competition I am also using ax-platform for ...
user144514
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189
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training loss decreases but training accuracy is also decreasing with epochs
I am working on the classification problem where by I am having a hinge loss function + other loss terms to optimize for which the input is the output from tanh layer at the end. But I can't reveal ...
- 131
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1
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214
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Target and output shape/type for binary classification using PyTorch
so I have some annotated images that I want to use to train a binary image classifier but I have been having issues creating the dataset and actually getting a test model to train. Each image is ...
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1
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420
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How to pass input to deep learning models for Multiple choice question answering problem?
I'm currently working on a multiple-choice question answering system. The training set consists of a question, answer and 4 options and I need to predict the correct answer among 4 options. Sometimes ...
- 425
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1k
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Binary cross entropy loss for one hot encoded 2 class problem
My aim is to predict whether a person is alive or dead. In the case there are two classes which can either be alive (1) or dead (0). The output could be only one class i.e 1 or 0 and not multi label ...
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