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I trained the model on a multi label classification dataset, which has about 400,000 instances and 500 labels in total. When the model is training, the accuracy of the train data and test data reach a…
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Hi,
First of all compliments for this amazing library and the code that stands below it.
Now I come to the issue:
I'm training supervised multi-class and multi-label models on a training set pl…
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Dear Evci
I downloaded your Multi-Label-Classification-Keras code recently, but the dataset used in this project does not exits in the repository. Could you tell me how to get this dataset? And do yo…
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Hello,
First, thanks for these great models! I was wondering if I could use these models for zero-shots classification, especially for emotion detection (Ekman). While doing so, I encountered this …
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Članovi tima:
Vladimr Jovin SW-30/2018, grupa 2
Asistenti:
Aleksandar Lukić
Problem koji se rešava:
Određivanje žanra filma na osnovu postera
Algoritam:
Konvolucione neuronske mreže
Da…
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Currently, the `eval` command allows to evaluate the predictive performance of a backend for a single training and test split. Unfortunately, splitting multi-class multi-label data into training and t…
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Is there any instructions to run the code as it is??
I am a newbie to python and Deep learning. Working on a task on multi label classification. I can understand the work flow, but have trouble in ru…
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Will it possible for you to add a description the model you're using? Especially which cost function you used for multi-label classification. If possible, please also provide some accuracy measure on …
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If I have enough low quality data from unsupervised methods or rule-based methods.
I read from https://github.com/subeeshvasu/Awesome-Learning-with-Label-Noise ,but these methods are a little compl…
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The behavior of the CutMix transform on labels was changed significantly from v1.3.2 to v1.4.0rc1. This change originates from #7813, in which I have left a comment, but I'm creating an issue to incre…