This project was completed as a part of the Honors portion of the Advanced Learning Algorithms Course on Coursera.
Credit to DeepLearning.AI, Stanford, and the Coursera platform for providing the course materials and guidance.
In this project, I employed a neural network to successfully identify two handwritten digits, specifically zero and one. The primary objective was to accomplish a binary classification task. Handwritten digit recognition has become increasingly prevalent in various applications, such as identifying zip codes on mail envelopes and recognizing handwritten amounts on bank checks. As part of a forthcoming assignment, I plan to further enhance the network's capabilities to recognize all ten digits (0-9).
