In the last few years, AI has made breathtaking strides driven by developments in machine learning, such as deep learning. Deep learning is part of the broader field of machine learning that is concerned with giving computers the ability to learn without being programmed. Deep learning has had some incredible successes.
Arguably, the modern era of deep learning can be traced back to the ImageNet challenge in 2012. ImageNet is a database of millions of images categorized using nouns such as “strawberry,” “lemon,” and “dog.” During this challenge, a convolutional neural network (CNN) could achieve an error rate of 16 percent (before that, the best algorithm could only achieve a 25 percent error rate).
