Understand
We have witnessed rapid evolution of deep neural network architecture design in the past years.
- These latest progresses greatly facilitate the developments in various areas such as computer vision and natural language processing.
- However, along with the extraordinary performance, these state-of-the-art models also bring in expensive computational cost.
- Directly deploying these models into applications with real-time requirement is still infeasible.
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