How the incorporation of prior information can accelerate the speed at which neural networks learn while simultaneously increasing accuracy

How the incorporation of prior information can accelerate the speed at which neural networks learn while simultaneously increasing accuracy Deep neural nets typically operate on “raw data” of some kind, such as images, text, time series, etc., without the benefit of “derived” features. The idea is that because of their

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Using Topological Data Analysis to Understand the Behavior of Convolutional Neural Networks

Using Topological Data Analysis to Understand the Behavior of Convolutional Neural Networks TLDR: Neural Networks are powerful but complex and opaque tools. Using Topological Data Analysis, we can describe the functioning and learning of a convolutional neural network in a compact and understandable way. The implications of the finding are

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