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0:10:58
L24/2 Attention in Python
0:10:38
L24/4 Seq2sen with Attention in Python
0:09:19
L24/1 Attention Layer
0:15:01
L24/6 BERT
0:04:12
L24/3 Seq2seq with Attention
0:24:48
L24/5 Transformer
0:10:27
L23/3 Machine Translation Dataset
0:18:49
L22/5 Text Sentiment Classification with RNN
0:30:07
L23/4 Seq2seq in Python
0:06:51
L23/2 Seq2seq
0:06:09
L23/1 Encoder-Decoder
0:20:04
L20/3 Bidirectional RNNs
0:01:17
L20/4 Bidirectional RNNs in Python
0:17:04
L20/1 Advanced RNNs - Deep RNNs
0:14:23
L20/5 Capacity Control and Advanced Topics
0:06:58
L20/2 Deep RNNs in Python
0:07:51
L22/3: FastTex and GloVe
0:06:33
L22/4 Finding Synonyms and Analogies
0:24:12
L22/1 Word2vec
0:37:06
L22/2: Word2vec in Python
0:17:49
L19/6 Gated Recurrent Unit (GRU)
0:07:15
L19/8 Long Short Term Memory
0:05:15
L19/9 Long Short Term Memory in Python
0:15:30
L19/7 Gated Recurrent Unit in Python
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