Deep Learning Projects – Handwritten Digit Recognition Using Neural Network

Handwritten digit recognition involves a machine’s ability to understand human-written digits. Deep learning is a method that allows developers to enhance machines. This course will introduce you to the algorithm for creating handwritten digit recognition using neural network. It will discuss how to build the project in Google Colab and Deploy it as a Web App.

First, the course will give you an understanding of what a digit recognition model looks like and how it works. Then, you’ll identify the dataset for handwritten digit recognition and how to use Google Collab for Deep Learning Projects. The course will explain what Google Collab is, outline its features and the reasons for using it for the project.

Moving forward, this Deep Learning Projects Course will explain the process of importing packages and data. Again, you’ll understand the process of creating a model using image preprocessing. The Neural Network Course also covers lessons on training the model and prediction. Finally, you’ll understand how a Convolutional Neural Network works and learn about Handwritten Digit Recognition Using CNN.