Early Bird uses 10 times less energy to train deep neural networks

Original article was published on ScienceDaily – Artificial Intelligence

Engineers have found a way to train deep neural networks for a fraction of the energy required today. Their Early Bird method finds key network connectivity patterns early in training, reducing the computations and carbon footprint for training deep learning.