Cifar-10 Image Classification with Keras and Tensorflow 2.0 provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Cifar-10 Image Classification with Keras and Tensorflow 2.0 is taught by Ryan Ahmed. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.
2 hours worth of material
Upcoming
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.
