Snowflake: An efficient hardware accelerator for convolutional neural networks

@article{Gokhale2017SnowflakeAE,
  title={Snowflake: An efficient hardware accelerator for convolutional neural networks},
  author={Vinayak Gokhale and Aliasger Zaidy and Andre Xian Ming Chang and Eugenio Culurciello},
  journal={2017 IEEE International Symposium on Circuits and Systems (ISCAS)},
  year={2017},
  pages={1-4}
}
Deep learning is becoming increasingly popular for a wide variety of applications including object detection, classification, semantic segmentation and natural language processing. Convolutional neural networks (CNNs) are a type of deep neural network that achieve high accuracy for these tasks. CNNs are hierarchical mathematical models comprising billions of operations to produce an output. The high computational complexity combined with the inherent parallelism in these models makes them an… CONTINUE READING
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