Download CS 224D: Deep Learning For NLP: Lecture Notes: Part III Spring 2016 PDF Free - Full Version
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About CS 224D: Deep Learning For NLP: Lecture Notes: Part III Spring 2016
This document discusses neural networks and how they can be used for classification. It introduces the basic building block of neural networks, the neuron, which takes an input and produces an output. It describes how multiple neurons can be connected in a layer to take an input vector and produce an activation vector. This activation vector can then be used to generate a score for classification. The document also discusses how neural networks are trained using backpropagation and gradient descent to minimize an objective function like maximum margin.
Detailed Information
Author: | ['George Sakr'] |
---|---|
Publication Year: | 2020 |
Pages: | 14 |
Language: | English |
Format: | |
Price: | FREE |
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