Where Are We with Computer Vision? - insideBIGDATA

In the past several years, we've witnessed how deep learning, specifically convolutional neural networks, has been successfully applied to computer vision, natural language processing, speech recognition, logistics, online advertising, and many other problem domains. There are a few things that are unique about the application of deep learning to computer vision and understanding these characteristics will help in understanding the state of computer vision. In this article, I'd like to share a nice summary of the state of computer vision from Course 4 "Convolutional Neural Networks" from the new Deep Learning Specialization series on Coursera. Dr. Andrew Ng provides some compelling observations about deep learning and computer vision with the goal of mapping out the future of this increasingly popular technology. Consider that many machine learning problems fall somewhere on the spectrum between where you're working with "small data" to where you have "big data." For example, there is a decent amount of data available for speech recognition.