Implementation of Neural networks using PyTorch

We review and discuss the structure and implementation of basic neural networks using PyTorch. Polynomial fitting, classification, and mixture density networks will be discussed along with coding details for replications of results found in the literature.

[Slides]

References:

Bishop, Christopher M. Pattern Recognition and Machine Learning, Chapter 5, Springer, 2006.

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