- Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3n7saLk

Professor Christopher Manning & PhD Candidate Abigail See, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel ...
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3n7saLk

Professor Christopher Manning & PhD Candidate Abigail See, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224n/index.html#schedule

0:00 Introduction
0:33 Overview
2:50 You use Language Models every day!
5:36 n-gram Language Models: Example
10:12 Sparsity Problems with n-gram Language Models
10:58 Storage Problems with n-gram Language Models
11:34 n-gram Language Models in practice
12:53 Generating text with a n-gram Language Model
15:08 How to build a neural Language Model?
16:03 A fixed-window neural Language Model
20:57 Recurrent Neural Networks (RNN)
22:39 ARNN Language Model
32:51 Training a RNN Language Model
36:35 Multivariable Chain Rule
37:10 Backpropagation for RNNs: Proof sketch
41:23 Generating text with a RNN Language Model
51:39 Evaluating Language Models
53:30 RNNs have greatly improved perplexity
54:09 Why should we care about Language Modeling?
58:30 Recap
59:21 RNNs can be used for tagging

#Stanford #Stanford Online #NLP #Deep Learning #AI #CS224N
Introduction - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Introduction

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:00:00 - 00:00:33
Overview - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Overview

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:00:33 - 00:02:50
You use Language Models every day! - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

You use Language Models every day!

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:02:50 - 00:05:36
n-gram Language Models: Example - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

n-gram Language Models: Example

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:05:36 - 00:10:12
Sparsity Problems with n-gram Language Models - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Sparsity Problems with n-gram Language Models

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:10:12 - 00:10:58
Storage Problems with n-gram Language Models - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Storage Problems with n-gram Language Models

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:10:58 - 00:11:34
n-gram Language Models in practice - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

n-gram Language Models in practice

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:11:34 - 00:12:53
Generating text with a n-gram Language Model - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Generating text with a n-gram Language Model

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:12:53 - 00:15:08
How to build a neural Language Model? - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

How to build a neural Language Model?

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:15:08 - 00:16:03
A fixed-window neural Language Model - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

A fixed-window neural Language Model

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:16:03 - 00:20:57
Recurrent Neural Networks (RNN) - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Recurrent Neural Networks (RNN)

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:20:57 - 00:22:39
ARNN Language Model - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

ARNN Language Model

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:22:39 - 00:32:51
Training a RNN Language Model - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Training a RNN Language Model

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:32:51 - 00:36:35
Multivariable Chain Rule - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Multivariable Chain Rule

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:36:35 - 00:37:10
Backpropagation for RNNs: Proof sketch - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Backpropagation for RNNs: Proof sketch

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:37:10 - 00:41:23
Generating text with a RNN Language Model - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Generating text with a RNN Language Model

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:41:23 - 00:51:39
Evaluating Language Models - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Evaluating Language Models

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:51:39 - 00:53:30
RNNs have greatly improved perplexity - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

RNNs have greatly improved perplexity

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:53:30 - 00:54:09
Why should we care about Language Modeling? - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Why should we care about Language Modeling?

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:54:09 - 00:58:30
Recap - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

Recap

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:58:30 - 00:59:21
RNNs can be used for tagging - Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs

RNNs can be used for tagging

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 6 – Language Models and RNNs
2019年04月20日 
00:59:21 - 01:08:25

Stanford Online

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