The IBM Watson Visual Recognition service is a powerful AI tool that identifies image content. The service comes with the following pretrained models, but can also be customized to recognize custom classes. In this Visual Recognition Challenge for the Digital Developer Conference, you'll complete a hands-on lab. You'll use food images, Watson Studio, and Watson Visual Recognition to identify food, and use a model that utilizes a specialized vocabulary of over 2000 foods to identify meals, food items, and dishes with enhanced accuracy. This tutorial can be completed using an IBM Cloud Lite account.

Just enter code fccstevens into the promotional discount code box at checkout at manning.com. In part one, we learned about PyTorch and its component parts, now let's take a closer look and see what it can do. In this article, we explore some of PyTorch's capabilities by playing with pre-trained networks. Computer vision -- a field that deals with making computers to gain high-level understanding from digital images or videos -- is certainly one of the fields most impacted by the advent of deep learning, for a variety of reasons. The need for classifying or interpreting the content of natural images was there, huge datasets became available and new constructs, such as convolutional layers, came about and started to run quickly on GPUs with unprecedented accuracies.