tensorflow rl library
The Wild Week in AI - IBM MIT AI Lab; EMNLP Videos; Tensorflow RL library; Lots of PyTorch projects;
A novel architectural unit for CNNs, termed the "Squeeze-and-Excitation" (SE) block, that adaptively recalibrates channel-wise feature responses by explicitly modeling interdependencies between channels. SE blocks produce performance improvements for existing state-of-the-art deep architectures at slight computational cost. SENets formed the foundation of our ILSVRC 2017 classification submission which won first place and significantly reduced the top-5 error to 2.251%, achieving a 25% relative improvement over the winning entry of 2016.