“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

For example, object detection deep learning models are very sensitive to image size and their performance drops rapidly when the input resolution is reduced.

Google’s deep learning finds a critical path in AI chips The work marks a beginning in using machine learning techniques to optimize the architecture of chips.