IA sur FPGA : Vers une surveillance automatisée de la biodiversité végétale des plantes médicinales

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General Introduction General Overview of Artificial Intelligence Introduction Definition of artificial intelligence. The brief history of artificial intelligence the Main Fields of AI Machine learning Types of Machine Learning Deep learning Types of Deep Learning Networks AI on FPGA The unique advantages and applications of FPGA in artificial intelligence Flexible and configurable Special Optimizations for Convolutional Neural Networks Deterministic low latency The development of FPGA in the future Image Processing in Artificial Intelligence Digital image The characteristics of a digital image The Pixel . The Resolution Image Processing. Fundamental Steps in Digital Image Processing. Image Classification Image classification motivations Conclusion . THE DESIGN OF CNNS FOR IMAGE CLASSIFICATION. Introduction Programmable logic devices FPGAs Internal architecture of FPGAs FPGAs Technologies FPGA Development tools ISE Design Suite 14.7 VHDL language. Study of the Mimas v2 board Mimas v2 Features board Components of the Mimas v2 board VGA protocol VGA Port VGA timing specification Artificial Neural Networks Convolutional Neural Networks Architecture of ConvNet. Gradient Descent algorithm Backpropagation algorithm Activation function. Types of activation functions Conclusion System implementation Introduction . Number representation CNN Blocks Parallel-Parallel multiplier Block Convolution Block ReLu Function Block Max Pooling Block Fully Connected Block. Backpropagation Block Comparator Displaying Image Conclusion General Conclusion

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