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https://telecombcndl.github.io/2017dlai/
Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of largescale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with handcrafted features. Architectures such as convolutional neural networks, recurrent neural networks or Qnets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.
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