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Natural Language Processing with Deep Learning

Stanford, , Prof. Chris Manning

Updated On 02 Feb, 19

Overview

Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation.

Includes

Lecture 4: Lecture 4: Word Window Classification and Neural Networks

4.1 ( 11 )


Lecture Details

Lecture 4 introduces single and multilayer neural networks, and how they can be used for classification purposes.

Key phrases: Neural networks. Forward computation. Backward propagation. Neuron Units. Max-margin Loss. Gradient checks. Xavier parameter initialization. Learning rates. Adagrad.

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Natural Language Processing with Deep Learning

Instructors:
- Chris Manning
- Richard Socher

Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.

For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/

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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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