Machine Learning! (FPGA On-Device ARM Cortex Deep Reinforcement Learning with DQN)!    @DataSciConnect      

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ReferencesTran, D. D., Le, T. T., Duong, M. T., Pham, M. Q., & Nguyen, M. S. (2022, October 13–14). FPGA design for deep Q-network: A case study in cartpole environment. In 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR) (pp. [include specific page numbers if available]). Phu Quoc, Vietnam. IEEE.Xilinx, AMD. (2020, December 1). AMD Xilinx FPGA software platform. AMD. Retrieved December 25, 2024, from
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#BigData #Analytics #DataScience #AI #MachineLearning #ReinforcementLearning #IoT #IIoT #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux