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