There are millions of use cases requiring that customers build their deep learning application. For a long time, this was a very complicated task involving arcane knowledge and tools which only expert scientists could master.
Remember the process of removing noise from the image by using erosion? Depending on complexity, you would be applying it again and again until the image was clean and ready. The neural network could handle this automatically just from training from examples.
Imagine that you have to improve a face-recognition example and match two and tens of other photos from different angles. Your task would be primarily focused on adjusting the threshold and verifying them, again and again, by adjusting ...
