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Jon Krohn

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Jon Krohn

How to Understand How LSTMs Work →

Added on July 4, 2017 by Jon Krohn.

In the twelfth iteration of our Deep Learning Study Group, we talked about a number of Deep Learning techniques pertaining to Natural Language Processing, including Attention, Convolutional Neural Networks, Tree Recursive Neural Networks, and Gated Recurrent Units. Our collective effort was primarily focused on a popular variant of the latter -- Long Short-Term Memory units. This blog post provides a high-level overview of what LSTMs are, why they're suddenly ubiquitous, and the resources we recommend working through to understand them. 

← Newer: “Deep Learning with TensorFlow” Introductory Tutorials with Jupyter Notebooks Older: Filming "Deep Learning with TensorFlow LiveLessons" for Safari Books →
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