This project was completed as a part of the Honors portion of the Convolutional Neural Networks Course on Coursera.
Credit to DeepLearning.AI and the Coursera platform for providing the course materials and guidance.
The primary objective of this project is to develop a mood classifier using the TF Keras Sequential API. The aim is to construct a ConvNet (Convolutional Neural Network) that can accurately identify sign language digits. Through the TF Keras Functional API, we will build the model and train it on a dataset of sign language images, effectively enabling it to classify different sign language digits. By the end of this endeavor, we will have achieved a comprehensive understanding of both the Sequential and Functional APIs of TensorFlow Keras and applied them to create two distinct yet powerful models for mood classification and sign language digit identification.
