For the DNN and large memory ML algo, wondering if you will intend to use Huffman code to reduce the memory footprint of the parameters (weights for DNN).
Also, wondering if you will use techniques like pruning and weight sharing by quantization
to reduce the memory usage ?
Hello,
For the DNN and large memory ML algo, wondering if you will intend to use Huffman code to reduce the memory footprint of the parameters (weights for DNN).
Also, wondering if you will use techniques like pruning and weight sharing by quantization to reduce the memory usage ?
Thanks