ASL | Transfer Learning and Fine-tuning for Sign Language

[Varunshiyam]

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Latest Merged PR Link

Pr : #930

Project Description

This project demonstrates the application of transfer learning to classify American Sign Language (ASL) expressions. Two popular CNN architectures, InceptionV3 and ResNet50, are employed as base models with pre-trained weights from ImageNet. The models are fine-tuned on an ASL dataset, leveraging their learned feature representations for improved accuracy. The training process includes data augmentation and employs the Adam optimizer with a categorical cross-entropy loss function. The performance of both models is evaluated and compared, showcasing the effectiveness of transfer learning for ASL classification and its potential for communication support applications.

Full Name

Varunshiyam

Participant Role

Gssoc, hacktoberfest

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[UTSAVS26]

@Varunshiyam before creating PR wait until me or mentors assign the issue to you.

[github-actions]

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