Project Description:
I developed a neural network model to classify images using the Keras and TensorFlow libraries. I used a sequential model with two hidden layers and a softmax output layer. The model was trained on a dataset of 10,000 images, and it achieved an accuracy of 89.47% on the validation dataset.
Project Goals:
The goals of this project were to:
Learn how to use Keras and TensorFlow to develop neural network models Apply machine learning techniques to solve a real-world problem Improve my understanding of image classification Project Accomplishments:
I was able to successfully develop a neural network model that was able to classify images with an accuracy of 89.47%. This project helped me to learn how to use Keras and TensorFlow, and it also gave me a better understanding of image classification.