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ASL Recognition with Deep Learning

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Updated 06/2024
Build a convolutional neural network to classify images of letters from American Sign Language.
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PythonData ManipulationData VisualizationMachine Learning45 minutes9 Tasks1,500 XP6,854

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Project Description

ASL Recognition with Deep Learning

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.

ASL Recognition with Deep Learning

Build a convolutional neural network to classify images of letters from American Sign Language.
Start project for free
  • 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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