Coursera - Natural Language Processing with Attention Models

Files Included :

01 course-4-introduction.mp4 (13.75 MB)
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02 seq2seq.mp4 (8.1 MB)
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03 alignment.mp4 (7.92 MB)
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06 attention.mp4 (8.97 MB)
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08 setup-for-machine-translation.mp4 (6.89 MB)
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09 training-an-nmt-with-attention.mp4 (9.15 MB)
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12 evaluation-for-machine-translation.mp4 (11.56 MB)
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14 sampling-and-decoding.mp4 (15.9 MB)
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01 andrew-ng-with-oren-etzioni.mp4 (238.18 MB)
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01 transformers-vs-rnns.mp4 (11.09 MB)
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03 transformer-applications.mp4 (13.45 MB)
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05 dot-product-attention.mp4 (12.3 MB)
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07 causal-attention.mp4 (8.67 MB)
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09 multi-head-attention.mp4 (11.07 MB)
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11 transformer-decoder.mp4 (8.74 MB)
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13 transformer-summarizer.mp4 (8.07 MB)
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01 week-3-overview.mp4 (8.17 MB)
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03 transfer-learning-in-nlp.mp4 (11.43 MB)
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05 elmo-gpt-bert-t5.mp4 (9.19 MB)
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07 bidirectional-encoder-representations-from-transformers-bert.mp4 (8.44 MB)
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09 bert-objective.mp4 (5.78 MB)
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11 fine-tuning-bert.mp4 (5.38 MB)
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13 transformer-t5.mp4 (7.32 MB)
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15 multi-task-training-strategy.mp4 (11.73 MB)
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17 glue-benchmark.mp4 (5.2 MB)
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19 question-answering.mp4 (5.26 MB)
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01 tasks-with-long-sequences.mp4 (6.33 MB)
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04 transformer-complexity.mp4 (6.38 MB)
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06 lsh-attention.mp4 (9.26 MB)
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09 motivation-for-reversible-layers-memory.mp4 (2.58 MB)
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11 reversible-residual-layers.mp4 (10.23 MB)
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13 reformer.mp4 (4.85 MB)
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01 andrew-ng-with-quoc-le.mp4 (301.22 MB)
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