ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA — mentioned by alexbeloi

Wed, 22 Nov 2017 20:44:20 GMT

My summary: * deephi built an FPGA based processing unit specialized for sparse low precision tensor operations * Now they have a dev kit for turning your tensorflow/caffe/mxnet models into compressed (sparse/low precision) binaries that are optimized to run on their processors. They published a paper about how they balance compression/accuracy. [0] [0] https://arxiv.org/pdf/1612.00694.pdf

Paper and discussion history. A mention is not an endorsement.

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA · HackerPapers discussions

ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA — mentioned by alexbeloi