gishnum / image-classification

In this project, we'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. we'll preprocess the images, then train a convolutional neural network on all the samples. We'll get to apply what you learned and build a convolutional, max pooling, dropout, and fully connected layers.

• 👋 Hi, I’m @gishnum
• • Interests include - Artificial Intelligence, Principles and Design of Software Engineering, Software Development, Graph Theory & Modelling, Graph Analytics,Network Analysis, Complexity Theory and Information Theory
• • 📫 [email protected]