Download CS 224D: Deep Learning For NLP: Lecture Notes: Part III Spring 2015 PDF Free - Full Version
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About CS 224D: Deep Learning For NLP: Lecture Notes: Part III Spring 2015
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 an output score for classification. It provides the mathematical formulation for the feedforward computation in a neural network and discusses using a maximum margin objective function to train neural networks.
Detailed Information
| Author: | ['Francis Mtambo'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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