This technical seminar will cover Convolutional Neural Networks Theory, practical embedded design considerations, Renesas e-AI RZ/A2M MPU details, e-AI design flow example and the following demos
Vehicle Number Plate Detection
Shopping Basket Item Recognition
Real-time AI Object Recognition
Automatic Speech Recognition
Learn the workflow for CNN training and inference
Learn the basics of Convolution and ConvNet layers
Learn the evolution ConvNet across a few well-known architectures
Renesas’ proprietary Dynamically Reconfigurable Processor (DRP) technology can execute image pre-processing 10x faster than running sequential code in a CPU
Automatic speech recognition can be realized in real-time with RZ/A2M and DRP
Renesas new IP DRP-AI realizes AI inference without CPU processing enabling object recognition in real-time
The AI Board Support Package running on the RZ/G devices helps