Deep Convolutional Neural Networks (DCNNs) have achieved remarkable success in various Computer Vision applications. Like others, the task of semantic segmentation is not an exception to this trend.
Source: freecodecamp.org
We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. This method performs as well as MAML, a broadly applicable meta-learning algorithm, while being simpler to implement and more computationally efficient.
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Video game/E-sports streaming is a huge and ever rising market. In the world championship of League of Legends (LoL) last year, one semifinal attracted 106 million viewers, even more than the 2018 Super Bowl. Another successful example is Twitch, where thousands of players broadcast their gameplay to millions of viewers.
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