We all know very well that today how machines are able to teach machines.
Today, machines are able to teach machines.
For this task, AutoML scored 43%, compared to 39% for humans.
We want to enable hundreds of thousands of developers to be able to do that, he added.
AutoML designs a base model and analyzes the results and performance of the model.
This allows it to make corrections on this basic model and improve it.
This operation is repeated several thousand times and each new prototype is more efficient than the previous one.
As a result, new prototypes are becoming more intelligent and almost self-contained.
Much of this work involves imitating human neural networks and trying to feed them with more and more data.
This is a machine-friendly job once they have been trained to do it.
If engineers spend less time creating these systems, they will have more time for monitoring and refining them.
So, what do you think about this?
Simply share your views and thoughts in the comment section below.
