In this section, we will demonstrate how to train image classification models using this dataset. Similarly, you can download the validation file to the AWS bucket under the image-classification-full-training/validation folder.
In Chapter 7, Implementing Deep Learning Algorithms, we studied an algorithm called a CNN that uses deep neural networks to build an object detection model. This model trains on labeled images and learns how to identify objects in an image using various layers of deep neural networks. However, building this deep learning model from scratch is difficult. Amazon SageMaker offers an easy way to train image classification algorithms using your own dataset and then deploys that model to detect objects in images. We'll provide a code example of training a model using the caltech256 dataset, and then we...
