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In deep learning, artificial intelligence does influence numerous sides of smart cities. Deep learning is an auspicious approach for extracting the exact information from raw sensor data from IoT devices deployed in complex environments. In that, self-learning machines tremor humanity in cities in the areas such as safety, transportation, healthiness, governance, and atmosphere. Smart city IoT structures are aimed at providing germ-free water, steady power, harmless gas, and streamlined and cost-effective open lighting. As smart urban communities free up assets by acutely running on dependable distribution, they can guarantee in various administrations to change of location deserving of life. Water and energy models are vital to each city, and smarter administration of them is the development for smart city using IoT. The main aim of deep learning is to resolve “natural” glitches which have been categorized by …