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GitHub / SheezaShabbir / MultiTaskLearning-Multi-label-Classification-using-CNN-

Training a new classification network which should tell the identity label of an image and also be able to classify: ● Gender as Male/Female ● Wearing Glasses/ Not Wearing Glasses ● Smiling/ Not Smiling ● Wearing hat/ not wearing hat ● young/old. As we need 5 outputs from a single input. The custom CNN model consists of NN architecture with 5 heads return my the model. My model performance in Multilabel classification task is totally remarkable.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SheezaShabbir%2FMultiTaskLearning-Multi-label-Classification-using-CNN-

Stars: 1
Forks: 0
Open issues: 1

License: None
Language: Jupyter Notebook
Size: 212 KB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: over 1 year ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago

Topics: classification-algorithm, computer-vision, custom-cnn, deep-learning, image-classification, image-processing, machine-learning, multilabel-classification, multitask-learning, neural-network, opencv, pyotrch, python

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