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Deep Learning (Adaptive Computation and Machine Learning series) [Ian Goodfellow, Yoshua Bengio, Aaron Courville] on *FREE* shipping on qualifying offers. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background
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An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivative-free optimization methods such as evolutionary algorithms or reinforcement learning are omnipresent. When gradient-based methods are used, models are kept small or rely on finite difference approximations for the ...
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en A paradigm shift is introduced: an adaptation of new methods of intelligent control that will relax the dependency on rigid, computer-intensive, stochastic PDE, and will shift the emphasis to a goal-oriented, flexible, adaptive, multiresolutional decision support system (MRDS) with strong unsupervised learning (oriented towards anticipation rather than prediction) and highly efficient ...
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The Tunnel Boring Machines are being set up across the street from the center of Little Tokyo instead of at end of station excavation. The innovative dimension of this project also rests upon the installation of highspeed elevators instead of long escalators for the deep Second & Hope Station (40m 112 feet deep). A large cavern (88m long [290 ...
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