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Jon Krohn

Deep Learning Study Group 10: word2vec Mania + Generative Adversarial Networks →

Added on April 21, 2017 by Jon Krohn.

In our tenth session, we delved into the theory and practice of converting human language into fodder for machines. Specifically, we discussed the mathematics and software application of word2vec, a popular approach for converting natural language into a high-dimensional vector space. 

← Newer: Deep Learning Study Group XI: Recurrent Neural Networks, including GRUs and LSTMs Older: Deep Learning Study Group IX: Natural Language Processing, AI in Fashion, and U-Net →
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