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E-RNN: Optimizing RNNs for FPGA Efficiency by 23521206 is a document available to read on EtoBox.
What is E-RNN: Optimizing RNNs for FPGA Efficiency about?
The document presents the Efficient RNN (E-RNN) framework for optimizing the design of Recurrent Neural Networks (RNNs) for FPGA implementations, specifically targeting Automatic Speech Recognition applications. It addresses the challenges of real-time performance and energy efficiency while maintaining accuracy, utilizing a block-circulant matrix approach and the alternating direction method of multipliers (ADMM) for training. Experimental results indicate that E-RNN achieves significant improvements in en
- Author
- 23521206
- Language
- EN