InceptionResNetV2 - Final model

Pre-trained model - InceptionResNet V2
Trained with 7200 images belonging to 24 classes with 80:20 train:validation split.

InceptionV2

A Sign Language Recognition system based on a deep learning model to recognize American sign language alphabets (A-Z). The model is created by extending the layers of the pre-trained model - InceptionV2 and then trained on a self-captured dataset.

The source code and the trained Inception model file is attached. Another trained model file is also included.