When working on your AI project , if you have to handle a large collection of rich media, such as images, video or audio, traditional machine learning algorithms are not going to be enough. In this case, you need a deep learning framework. Deep Learning (DL) frameworks are basically libraries , interfaces, and tools that help you build deep learning models more easily. They have pre-built components that are optimized so you don’t have to build underlying algorithms. However, choosing a deep learning framework is not an easy task. In this article, I’ll provide an overview of the top solutions to help you select a framework for your project. What is a Deep Learning Framework and how to choose it? To understand this concept, let’s use an example. Consider the images in the picture below. While these are all animals, there are several categories in this image – Owl, Horse, Lion, Giraffe, and so on. If we need to classify these images into their...
TensorFlow API for .NET languages and tensorflow api for c#