In the past I have worked on wireless management, mesh networks, enterprise network management, and different wireless architectures. More details about some of the projects are below.
To overcome this problem, Schmidhuber's multi-level hierarchy of networks (1992) pre-trained one level at a time by unsupervised learning, fine-tuned by backpropagation .  Behnke (2003) relied only on the sign of the gradient ( Rprop )  on problems such as image reconstruction and face localization.
CSC 545 Artificial Intelligence. (3 Hours) Efficient and intelligent search techniques. Knowledge representation ., logic, and semantic nets. Reasoning techniques including reasoning under uncertainty, ., fuzzy reasoning. Exposure to different artificial intelligence systems like planning and learning (including neural networks).
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