Are We Overly Infatuated with Deep Learning?
The love affair with deep learning runs deep. After all, deep learning is responsible for much of the advancements in machine learning we’ve realized in the past decade. But are we overly infatuated with deep learning? Read Ronald Schmelzer’s article in Forbes on the subject:
One of the factors often credited for this latest boom in artificial intelligence (AI) investment, research, and related cognitive technologies, is the emergence of deep learning neural networks as an evolution of machine algorithms, as well as the corresponding large volume of big data and computing power that makes deep learning a practical reality. While deep learning has been extremely popular and has shown real ability to solve many machine learning problems, deep learning is just one approach to machine learning (ML), that while having proven much capability across a wide range of problem areas, is still just one of many practical approaches. Increasingly, we’re starting to see news and research showing the limits of deep learning capabilities, as well as some of the downsides to the deep learning approach. So are people’s enthusiasm of AI tied to their enthusiasm of deep learning, and is deep learning really able to deliver on many of its promises?
