Using Artificial Intelligence To Create Better Artificial Intelligence

in #news8 years ago

Google said it intends to approach in an entirely new way machine learning works. Allowing neural networks to create new, more efficient, more productive and easy-to-use neural networks. It is called Automatic Machine Learning or AutoML.


AutoML.png

Automatic Machine Learning process based on neural network - Source.

The new technology works in the following way: We select several suitable neural networks and imagine that they are still small children, and then we use another neural network that trains them through multiple repetitions of various complex operations. In this way, ​we create the best and most powerful neural network.
Computers get feedback and are rewarded for the right choice through trials and errors. With this method, instead of human face images or other similar information, the computer has to determine which neural network is the smartest one. Many experts believe that this approach will achieve better results than neural networks being taught by groups of scientists, as it is right now.
The new technology requires colossal computing power, but it is worthwhile because a neural network will in this way teach another. A team of scientists spends too much time learning a neural network, but with AutoML, almost everyone can create a neural network for their practical needs. - Source

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Hi, upvoted, followed and resteem:)

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Interesting times are ahead.

I upvoted you and resteem your post. Very Knowledgeable Post.Follow me @malay11 for Similar Post I written

oh, I didn't think about this. That means the singularity is a bit more easily accomplished than I thought. Well technically anyway.

Interesting viewpoint.

Crazy days!

That is Fascinating stuff. Where did you gather this info?

May like to read more about it. My dad was quite "into" computers; as a small child I watched him test computers, & I was so intrigued by what he was doing.

He worked w/ a Test PATTERN Generator - and it had these squiggly lines (of course). It was interesting to WATCH him work.

So as a result, have always been into them.

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