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- Level Foundation
- المدة 2 ساعات hours
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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.Auto Summary
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.