Handwritten Digit Image Recognition Using Machine Learning


  • Aditya Srivastava Department of Computer Science and Engineering, Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India
  • Dr. Pawan Singh Amity School of Engineering and Technology, Amity University Uttar Pradesh, LucknowCampus, India




Machine Learning, Artificial Intelligence, Convolutional Neural Network, MNIST


Machine Learning is a type AI (also known as Artificial Intelligence) that makes the pc or computer to act like individuals and learn more as they experience additional infor-mation from their client or user. So here in this report we got basic introduction about machine learning like actually what is it, what are its use, how it works, languages for coding, value of python for machine learning, and many more things. As python is ma-jorly used for machine learning, so we discussed about its use and its libraries. Thereaf-ter, we discussed about the categories in machine learning, i.e., supervised learning, un-supervised learning, semi-supervised learning and reinforcement learning. After this discussion we got a glimpse of some basic pros and cons of machine learning in artificial intelligence. After that we discussed about basic implementation formats of the algo-rithm in machine learning. Then we discussed about some majorly used applications of machine learning which are trending nowadays and has a great demand in today’s market. At the end we came to know about the future scopes in machine learning and concluded it.


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How to Cite

A. Srivastava and P. Singh, “Handwritten Digit Image Recognition Using Machine Learning”, J. Infor. Electr. Electron. Eng., vol. 3, no. 2, pp. 1–11, Nov. 2022.




Research Article