Using Convolutional Neural Networks for Inference - Neural Magic

Convolutional neural networks (CNNs) are a type of neural network most often used for image recognition and classification. CNNs excel at these tasks because they are designed to automatically learn how to recognize spatial hierarchies in an image. Once these algorithms are trained, they can'infer' the next best prediction for the task at hand. Beyond basic image recognition, CNNs are used for many different real world applications. We're beginning to see applications like China's TikTok that present AI as a product to consumers, where a recommendation engine infers which 60-second video they'd like to see next (with next to zero human guidance telling the app what to do).