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Janet Wagner
419 followers -
Technical Writer and Journalist
Technical Writer and Journalist

419 followers
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The new version of the Google GMail Smart Reply is no more based on LSTM but rather based on hierarchical models (deep learning ?) of language which are said to be more efficient. In the Google research blog post, there is a reference to Ray Kurzweil's pattern recognition theory of mind (PRTM) that aroused my curiosity. Let us remember that Kurzweil is Director of Engineering at Google and is working on projects involving machine learning and language processing.

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The modern history of object recognition in infographic.

The infographic consists of two pages, where the first page summarizes important concepts while the second page sketches up the history. Every illustration has been remade to be more consistent and understandable. All the references have been cherry-picked so that you always know where to look for detail explanation.

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New Blog Post: "An Intuitive Explanation of Convolutional Neural Networks"

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Most practical deep learning applications have so far been driven by supervised learning and very large labeled datasets. It's clear that larger datasets and more compute power are likely to drive a lot of future progress, however gathering this data is costly and difficult, and humans are proof that there is a way to develop intelligent behaviour without any large, labelled datasets. Should we be rethinking unsupervised learning? https://re-work.co/blog/deep-learning-roland-memisevic-unlabelled-datasets-rethinking-unsupervised-learning

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Andrew Ng's machine learning ebook

* Sign up by June 24 to get draft copy of each chapter
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