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Development status and trends of deep learning
In 2017, the ImageNet image classification competition announced the completion of its last session. But this does not mean that deep learning has ceased. On the contrary, the research and application of deep learning have broken away from the previous stage of "classification problems" as the research theme and entered a stage of extensive development. At the same time, the number of submissions to international conferences related to deep learning has increased exponentially year by year, which also shows that more and more researchers and engineers are devoted to the development and application of deep learning algorithms.
The profound impact of neural networks and deep learning on intelligent robots
The above recommended cars are all smart cars that combine neural network and deep learning technology to facilitate the development of such projects and applications. Of course, in the future, with the continuous development and improvement of neural network and deep learning technology, the intelligence level of intelligent robots will be further improved. We have reason to believe that in the near future, intelligent robots will become an indispensable part of our lives, bringing us a more convenient, efficient, and intelligent life experience.