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.
Early Bird uses 10 times less energy to train deep neural networks: Novel training method could shrink carbon footprint for greener deep learning
