![]() It was really the first time we used a neural network to create some artistic art representation. Generative models to create art and designÄeep dream was an experiment that visualises the patterns learned by a neural network similar to when the child watches clouds tries to interpret random shapes, deep dream over, interprets and enhances the pattern to see in an image. Generative models (GANs): Two or more models trained simultaneously.Segmentation: Classify whether each pixel of the image belong to a certain class.Object detection: Identify one or multiple objects within an image and their locations with bounding boxes. ![]() Feature extraction: Extracting latent features of an image with CNN models.Image classification (multi-label): Classify and image to multi classes.Image classification: Classify whether an image belongs to a particular one class.For natural language processing, computer vision is one way to interpret images with computers. We can use deep learning, machine learning, or non-machine learning algorithms to solve problems, such as computer vision. Deep Learning is a subset of machine learning, which has become quite popular in recent years.Machine learning is one way to achieve that intelligence.AI is the broadest playing that aims to create intelligent machines.We hear these words a lot, AI, machine learning, deep learning and computer vision.
0 Comments
Leave a Reply. |