American Sign Language (ASL) is the primary language used by many deaf individuals in NorthAmerica, and it is also used by hard-of-hearing and hearing individuals. The language is as rich asspoken languages and employs signs made with the hand, along with facial gestures and bodilypostures.In this project, i shall train a convolutional neural network to classify images of ASL letters. Afterloading, examining, and preprocessing the data, i will train the network and test its performance. ProjectTasks •1. American Sign Language (ASL) •2. Visualize the training data •3. Examine the dataset •4. One-hot encode the data •5. Define the model •6. Compile the model •7. Train the model •8. Test the model •9. Visualize mistakes
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