Acceleration of LRCN Networks Using FPGA

Achieved an 8x acceleration of LRCN (Long-term Recurrent Convolutional Network) networks through firmware development on the miniZed FPGA, as a course project at Stony Brook University.

Designed the hardware and software algorithm used to accelerate the LSTM portion of the LRCN network.