Handwritten Digit Recognition using Convolutional Neural Network (CNN) with Tensorflow

Handwritten Digit Recognition is the process of digitizing human handwritten digit images. It is a difficult task for the machine because handwritten digits are not perfect and can be made with a variety of flavors. In order to address this issue, we created HDR, which uses the image of a digit to identify the digit that is present in the image. In this project, we developed a Convolutional Neural Network (CNN) model using the Tensorflow framework to Recognition of Handwritten Digit. A convolutional neural network (CNN, or ConvNet) is a Deep Learning algorithm that can take in an input image, assign learnable weights and biases to various objects in the image and be able to distinguish one from the other.