SHRIYA TARUNinFPGA based Deep learning ApplicationDeep Learning Challenges and Solutions with Xilinx FPGAsDeep learning algorithms have two distinct phases. First is a model training phase involves evaluating and modifying weights in a deep…Apr 25, 2021Apr 25, 2021
SHRIYA TARUNinFPGA based Deep learning ApplicationA Deep Learning Framework to Predict Routability for FPGA Circuit PlacementToday’s largest Field Programmable Gate Array(FPGA) designs can easily take hours to place with no guarantee of routing success. Therefore…Apr 12, 2021Apr 12, 2021
SHRIYA TARUNinFPGA based Deep learning ApplicationDeep Learning Accelerator on FPGA Using Handwritten Digit RecognitionThe basic idea of deep learning is to construct a network like synapses in human brain called neuron network, and calculate the network by…Apr 11, 2021Apr 11, 2021
