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Natural Language Processing with Deep Learning (Winter 2019) (Stanford)

(20 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • Lecture 1 – Introduction and Word Vectors (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
2
  • Lecture 10 – Question Answering (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
3
  • Lecture 11 – Convolutional Networks for NLP (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
4
  • Lecture 12 – Subword Models (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
5
  • Lecture 13 – Contextual Word Embeddings (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
6
  • Lecture 14 – Transformers and Self-Attention (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
7
  • Lecture 15 – Natural Language Generation (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
8
  • Lecture 16 – Coreference Resolution (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
9
  • Lecture 17 – Multitask Learning (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
10
  • Lecture 18 – Constituency Parsing, TreeRNNs (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
11
  • Lecture 19 – Bias in AI (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
12
  • Lecture 20 – Future of NLP + Deep Learning (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
13
  • Lecture 3 – Neural Networks (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
14
  • Lecture 6 – Language Models and RNNs (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
15
  • Lecture 8 – Translation, Seq2Seq, Attention (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
16
  • Lecture 9 – Practical Tips for Projects (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
17
  •  Lecture 2 – Word Vectors and Word Senses (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
18
  •  Lecture 4 – Backpropagation (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
19
  •  Lecture 5 – Dependency Parsing (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences
20
  •  Lecture 7 – Vanishing Gradients, Fancy RNNs (Stanford)
Natural Language Processing with Deep Learning (Winter 2019) (Stanford) Stanford Prof. Dr. Christopher Manning, Prof. Dr. Thomas M. Siebel Applied Sciences

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