Machine Learning: Predict Numbers from Handwritten Digits using a Neural Network, Keras, and R

In this 1-hour long project-based course, you will learn how to build a Neural Network Model using Keras and the MNIST Data Set. By the end of the course you will have built a model that will recognize the digits of hand written numbers. You will also be exposed to One Hot Encoding, Neural Network Architecture, Loss Optimizers and Testing of the Model's performance. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

• Project Overview
• Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.