Cifar-10 Image Classification with Keras and Tensorflow 2.0

About this guided project

In this guided project, we will build, train, and test a deep neural network model to classify low-resolution images containing airplanes, cars, birds, cats, ships, and trucks in Keras and Tensorflow 2.0. We will use Cifar-10 which is a benchmark dataset that stands for the Canadian Institute For Advanced Research (CIFAR) and contains 60,000 32x32 color images. This project is practical and directly applicable to many industries.

What skills will you gain?

Applied Machine Learning

Tensorflow

Artificial Neural Networks

Artificial Intelligence and Machine Learning (AI/ML)

Deep Learning

Machine Learning

Keras (Neural Network Library)

Artificial Intelligence