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Implementation of Neural Nets in PyTorch

September 7, 2017

Implementation of Neural Nets in PyTorch [Slides] 

Nick Geneva

 

In this seminar we review and discuss the implementation of two different neural nets. First we discuss using mixture density networks to fit Gaussian distributions to a set of toy data and implementing a custom lost function in PyTorch. Second we review and discuss the implementation of a simple Bayesian neural network for a toy classification problem

 

Reference:
C. Bishop, Pattern Recognition and Machine Learning, Chapter 05, Springer, 2006.

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