Guided learning allows ‘untrainable’ neural networks to realize their potential | Massachusetts Institute of Technology News
Networks long thought to be “untrainable” can be effectively trained with a little help. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that short-term adjustments between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks. Their findings suggest that many…
