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Cifar-10 Image Classification with Keras and Tensorflow 2.0
  • Level Beginner
  • Duration 2 hours
  • Offered by

About

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.

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Learn to classify images of various objects using deep neural networks in Keras and TensorFlow 2.0. This beginner-friendly course, offered by Coursera, guides you through building, training, and testing a model on the CIFAR-10 dataset. Perfect for those looking to develop skills in image classification and deep learning. The course spans 120 minutes and is available for free. Ideal for personal development enthusiasts.