基于CNN的调制识别.py

基于CNN的调制识别，keras框架，tensorflow后端，数据集为github通用数据集。
We survey the latest advances in machine learning
with deep neural networks by applying them to the task of
radio modulation recognition. Results show that radio modulation recognition is not limited by network depth and further
work should focus on improving learned synchronization and
equalization. Advances in these areas will likely come from novel
architectures designed for these tasks or through novel training
methods.