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CS 478

This class was created by Brainscape user Katherine Fadeyeva. Visit their profile to learn more about the creator.

By: Katherine Fadeyeva
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Decks in this class (14)

Text Tokenization
Tokenization,
Types of tokenization,
Word type
18  cards
N-gram Modeling
Probability of a sentence,
Count based models,
Count based model formula
11  cards
Logistic Regression
What is logistic regression used for,
Binary classification,
Linear binary classification
9  cards
Classification 1
Perceptron,
Loss,
Online optimization
13  cards
Classification 2
Multiclass classification,
Block feature vectors,
Different weight equation
6  cards
Classification 3
0  cards
Feedforward Neural Networks 1
Linear classification,
Why can t we use linear model for...,
Linear features
15  cards
Feedforward Neural Networks 2
Node,
Edge,
Epoch
11  cards
Word Embeddings
Introword embedding,
Representationsdistributional rep...,
Introwordnet
30  cards
RNN & Attention
Neural netswhat is a feedforward ...,
Neural netsword embeddings in nns,
Neural netsw matrix in nns
28  cards
BERT and GPT
Attentionattention score functions,
Attentionmulti head self attention,
Self attentiontransformer
21  cards
POS Tagging and HMMs
Pos taggingtree representation,
Pos taggingpos tagging,
Pos taggingwhat governs correct p...
18  cards
Constituency Parsing
Constituency parsing,
Constituency parsing challenges,
Constituency parsing challengespp...
17  cards
Question Answering
1  cards

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CS 478

  • Class purpose General learning

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