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Deep Learning Networks: Advantages of ReLU over Sigmoid Function

Posted on October 11, 2018 at 6:00pm 0 Comments

This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural network. What are the advantages? I know that training a network when ReLU is used would be faster, and it is more biological inspired, what are the other advantages? (That is, any disadvantages of using sigmoid)?…


Deep Learning: AlphaGo Zero Explained In One Picture

Posted on January 4, 2018 at 6:00pm 1 Comment

Recently Google DeepMind announced AlphaGo Zero — an extraordinary achievement that has shown how it is possible to train an agent to a superhuman level in the highly complex and challenging domain of Go, ‘tabula rasa’ — that is, from a blank slate, with no human expert play used as training data.

It thrashed the previous reincarnation 100–0, using only 4TPUs instead of 48TPUs and a single…


Choosing the Correct Type of Regression Analysis

Posted on January 4, 2018 at 6:00pm 0 Comments

Guest blog by Jim Frost.

Regression analysis mathematically…


Book: Machine Learning: a Probabilistic Perspective

Posted on November 15, 2017 at 6:00pm 1 Comment

Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. 

The coverage combines breadth and depth, offering necessary…


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