project
ASL Recognition with Deep Learning
Build a convolutional neural network to classify images of letters from American Sign Language.
Start Project for Free9 Tasks1,500 XP6,763
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?Try DataCamp For Business
Loved by learners at thousands of companies
Project Description
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.
Project Tasks
- 1American Sign Language (ASL)
- 2Visualize the training data
- 3Examine the dataset
- 4One-hot encode the data
- 5Define the model
- 6Compile the model
- 7Train the model
- 8Test the model
- 9Visualize mistakes
Technologies
Python
Alexis Cook
See More
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.