吴恩达第五课RNN笔记

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2018-02-01 13:56:35
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视频记录本人学习吴恩达深度学习课程的笔记理解 https://zhuanlan.zhihu.com/p/31645196
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5.1.1why_sequence_models
04:54
5.1.02 notation
07:39
5.1.3 Recurrent Neural Network Models
22:53
5.1.4RNN backpropagation
05:02
5.1.5RNN types
04:54
5.1.6language modeling and sequence generation
10:54
5.1.7 Sampling novel sequences
06:13
5.1.8vanishing gradient of RNN
06:39
5.1.9GRU
19:01
5.1.10LSTM
09:20
5.1.11BRNN
04:31
5.1.12deep RNN
04:53
5.2.1 word representation
11:25
5.2.2 use word embedding
08:19
5.2.3properties_word_embedding
13:06
5.2.4 embedding matrix
04:16
5.2.5 learning embedding matrix
07:12
5.2.6 word2vec
09:35
5.2.7 negative sampling
06:20
5.2.8 GloVe word vector
07:35
5.2.9 sentiment classification
07:26
5.2.11 debias word embedding
10:36
01 abstract(01-07都属于同一篇论文)
02:28
01 概要(01-07都属于同一篇论文)
03:56
02 intro1-2
02:39
02 intro1-2能力强应用广word embedding
02:41
03 gender bias and neutral examples
06:24
03 gender bias的例子
01:45
04 gender bias的风险广泛存在
01:58
04 risk of gender bias in embedding
01:39
05 bias problem not easy
03:34
05 偏差问题的危害和难点
05:11
06 solution proposed
01:56
06 解决方案逻辑
04:21
07 detailed solution
03:45
07 具体方案逻辑
06:52
5.3.1 basic models
05:53
5.3.2 pick most likely sentence
06:47
5.3.3beam search
08:11
5.3.4 refinement to beam search
04:20
5.3.5 error analysis on beam search
05:23
5.3.6bleu score
12:45
5.3.7 attention model intuition
12:45
5.3.8 attention
12:03
5.3.9 speech recognition
10:31
5.3.10 trigger word detection
05:34
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