/MLonFPGA

A series of mainstream machine learning algorithms implement on FPGA.

A series of mainstream machine learning algorithms implement on FPGA.

__     __        _                 _        
\ \   / /__ _ __(_)_ __ ___   __ _| | _____ 
 \ \ / / _ \ '__| | '_ ` _ \ / _` | |/ / _ \
  \ V /  __/ |  | | | | | | | (_| |   <  __/
   \_/ \___|_|  |_|_| |_| |_|\__,_|_|\_\___|

Configurable parameters

ANN DT k-NN SVM
Data width(max=13);
Number of in-puts(max=16);
Number of hidden lay-ers(max=4);
Number of neurons in each hidden lay-er(max=8);
Number of tar-gets(max=16);
Activation functions		 Data width(max=13);
Number of depth(max=5);
Number of leaf nodes(max=64);
Number of targets(max=16)		 Data width(max=13);
Number of in-puts(max=16);
Number of neigh-bors(max=16);
Number of tar-gets(max=16)		 Data width(max=13);
Number of in-puts(max=16);
Number of tar-gets(max=16)