• Harshith K
• Gopinath D K
• Nikhil CG

In this paper, we present an innovative method for MNIST Handwritten digits Recognition employing a Convolutional neural network. Nowadays, it's become easier to coach a neural network due to the supply of the large amount of information and various Algorithmic innovations that are happening. Nowadays the quantity of computational power needed to coach a neural network has increased because of the provision of cloud-based services like google cloud platform which provides a resource to coach a Neural network on the cloud. In our system, we are going to implement a Convolutional neural network using Keras API. we used TensorFlow for training the neural network. we've developed this technique using Python programming language.

Convolutional neural network, TensorFlow, Python, MNIST dataset.

"MNIST Handwritten Digits Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.69-72, March-2021, Available :http://www.jetir.org/papers/JETIREN06015.pdf

"MNIST Handwritten Digits Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp69-72, March-2021, Available at : http://www.jetir.org/papers/JETIREN06015.pdf