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The Bottleneck in Teaching Neural Networks
The key bottle neck in teaching network, any of these things, is still the training. Once it has learned something, it it just can do, right? It can recognize images. It can make predictions about, you know, who should be your spouse or your next soap. But if you want to do this same job, for a specific task, with a neural network that is not trained by learning, but that is trained by a genome,. then you will soon find out that the time and energy that takes is even enormously bigger.