• Mr. P. Ravi Prakash
• A. Lavanya
• K. Jayanth Krishna
• G. Prem Prathyush
• P. Divya Naga Sri

Handwritten digit recognition is the capability of computer applications to recognize the human handwritten digits. It's a hard task for the machine because handwritten digits are not perfect and can be made with many different shapes and sizes. The handwritten digit recognition system may be a way to tackle this problem which uses the image of a digit and recognizes the digit present in the image. Convolutional Neural Network model created using PyTorch library over the MNIST( Modified National Institute of Standards and Technology) dataset to acknowledge handwritten digits.

Handwritten digit recognition, convolutional neural network ministry data set, deep learning, back propagation.

"Handwritten Digit Recognition Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.e555-e560, November-2022, Available :http://www.jetir.org/papers/JETIR2211490.pdf

"Handwritten Digit Recognition Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppe555-e560, November-2022, Available at : http://www.jetir.org/papers/JETIR2211490.pdf