Machine learning (network) by using FPGA
Budget: $250 – $750 USD
My project is the implementation of machine learning by using FPGA.
We will have already trained network and we will improve the deep neural network like speed up and accuracy or increasing throughput.
By using some techniques, Now I get to the practical side. And MAC operation (multiplication between weights and input features and then adding to bias) start we multiply 32-bit floating-point and then use the register to store the result of MAC.
We will have already trained network and we will improve the deep neural network like speed up and accuracy or increasing throughput.
By using some techniques, Now I get to the practical side. And MAC operation (multiplication between weights and input features and then adding to bias) start we multiply 32-bit floating-point and then use the register to store the result of MAC.