Is deep learning over hyped?

So deep networks work very well for image classification. It was also used for NLP and it worked there too. Originally Answered: Is deep learning just hype? No, it’s not over hyped or a hoax.

Is AI ML Overhyped?

At this point, the answer seems to be “no, AI is not overhyped,” but let me ask you a final question: Is AI been also using when not need? DEFINITELY YES! The reason is that AI is such a hot-word (no without reason, to be honest) that nowadays, literally everyone claims to use AI, although most of them do not.

Is this the peak of inflated expectations for deep learning?

Gartner calls this peak of inflated expectations. It is the time when the hype is really big. Everybody is talking about deep learning, everybody is working on it. People think that DL is a technology that is getting everywhere and it influences everything in our lives.

When will deep learning become accepted by the public?

When a tech goes through the low point of disillusionment and reaches the plateau of productivity, then it is an it is accepted by the public. In the case of DL that would be when we interact with deep learning algorithms on a day-to-day basis.

Is machine learning at the peak of inflated expectations?

“Machine Learning” isn’t on the graph for the first time since 2014, but Deep Learning (a form of machine learning) is at the Peak of Inflated Expectations. Again. In fact, machine learning and/or deep learning have been at the peak since 2015, always marked as 2–5 years away from the Plateau of Productivity.

Does Gartner’s ‘Hype Cycle’ have a permanent peak?

If you saw Gartner’s Hype Cycle in 2015 and waited to pursue machine learning when the excitement ‘inevitably’ waned, you are still waiting today — three years behind where you could have been. Perhaps this “permanent peak” shows the limits of the Hype Cycle itself.