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The original MNIST(Modified National Institute of Standards and Technology) image dataset of handwritten digits is a popular benchmark for image-based machine learning methods. The American Sign Language letter database of hand gestures represent a multi-class problem with 24 classes of letters (excluding J and Z which require motion).

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classification-model image-classification image-processing machine-learning machine-learning-algorithms

american-sign-language's Introduction

Hi ๐Ÿ‘‹, I'm Vaibhav Bichave (Software Engineer)

A passionate about Data Science and Backend Development

vaibhavbichave

Welcome to my GitHub profile

  • ๐Ÿ‘ฉโ€๐Ÿ’ป Iโ€™m Vaibhav, a student, Coder, Developer, who is going towards Developement

  • โœจ Iโ€™m a Self-learner, coding enthusiastic, passionate to learn new things

  • ๐ŸŒฑ Iโ€™m currently learning Django and Deep Learning

  • ๐Ÿ’ฌ Ask me about Machine learning

  • ๐Ÿ“ซ How to reach me [email protected]

vaibhavbichave

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