American Sign Language (ASL) is the primary language used by many deaf individuals in North America, and it is also used by hard-of-hearing and hearing individuals. The language is as rich as spoken languages and employs signs made with the hand, along with facial gestures and bodily postures.
In this project, you will train a convolutional neural network to classify images of ASL letters. After loading, examining, and preprocessing the data, you will train the network and test its performance.
The recommended prerequisites for this project are Deep Learning in Python and Convolutional Neural Networks for Image Processing.
Machine Learning Educator at Kaggle
Alexis is an AI educator with a background in mathematics. She formerly worked as a Curriculum Lead at Udacity, where she built content in deep learning, including applications to computer vision, natural language processing, and reinforcement learning.See More