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.
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