Towards Green AI: How to Make Deep Learning Models More Efficient in Production

Deep Learning models have been pushing state-of-the-art performances across different fields. These performance gains are often the results of larger models. But building bigger models requires more computations in both the training and the inference stage. And more computations require bigger hardware and more electricity and thus emit more CO2 and lead to a bigger carbon footprint, which is bad for the environment. <a href="https://towardsdatascience.com/towards-green-ai-how-to-make-deep-learning-models-more-efficient-in-production-3b1e7430a14">Learn More</a>