Unveiling the Hidden Layers of Deep Learning

By Scientific AmericanMay 23, 2016CommentsEnvisioning how neural networks learn. Credit: Daniel Smilkov and Shan Carter A new method for visualizing the mechanisms and hidden layers of neural networks could provide insights into deep learning. It is established that an order exists to how the hidden layers function, in that from input to output, each layer manages information of increasing complexity. The Tensor Flow project’s goal is to shed light on these layers by enabling users to interact and experiment with them via an open source tool described as a neural network playground. The playground employs blue and orange points scattered within a field to “teach” computers to find and echo patterns. By choosing different dot-arrangements of varying degrees of complexity, users can manipulate the learning system by adding new hidden…


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