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• Final Grade: 98/110 • Graduationthesis: LATENTREPLAY-BASEDON-DEVICECONTINUALLEARN- ING USING TRANSFORMERS ON EDGE ULTRA-LOW-POWER IOT PLATFORMS - The thesis explored PULP deployment solutions for continual learn- ing (CL) methods applied on Visual Transformers (ViT) by extending the PULP TrainLib library to support ViT, and by experimenting with latent replay and associated CL methods on transformers.它是用Python和C编写的，它使用了Pytorch库。•课程工作：AI的体系结构和平台；图像处理和计算机视觉；自然语言处理；机器学习和深度学习；组合，决策和优化；乐趣 - aiinindustry; AI的语言和算法； AI的统计和数学方法。
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