Coursera - Natural Language Processing with Sequence Models

Files Included :

01 course-3-introduction.mp4 (17.19 MB)
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02 neural-networks-for-sentiment-analysis.mp4 (6.36 MB)
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04 trax-neural-networks.mp4 (4.38 MB)
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06 why-we-recommend-trax.mp4 (32.75 MB)
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08 trax-layers.mp4 (5.38 MB)
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10 dense-and-relu-layers.mp4 (1.66 MB)
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12 serial-layer.mp4 (2.52 MB)
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14 other-layers.mp4 (3.9 MB)
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16 training.mp4 (5.9 MB)
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01 traditional-language-models.mp4 (7.16 MB)
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03 recurrent-neural-networks.mp4 (6.99 MB)
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05 applications-of-rnns.mp4 (7.35 MB)
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07 math-in-simple-rnns.mp4 (6.72 MB)
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09 cost-function-for-rnns.mp4 (2.44 MB)
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11 implementation-note.mp4 (3.77 MB)
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13 gated-recurrent-units.mp4 (7.26 MB)
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15 deep-and-bi-directional-rnns.mp4 (6.54 MB)
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01 rnns-and-vanishing-gradients.mp4 (8.8 MB)
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04 introduction-to-lstms.mp4 (7.25 MB)
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07 lstm-architecture.mp4 (6.86 MB)
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09 introduction-to-named-entity-recognition.mp4 (6.89 MB)
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12 training-ners-data-processing.mp4 (5.72 MB)
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15 computing-accuracy.mp4 (1.99 MB)
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01 siamese-networks.mp4 (6.04 MB)
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03 architecture.mp4 (6.11 MB)
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05 cost-function.mp4 (4.49 MB)
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07 triplets.mp4 (9.78 MB)
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09 computing-the-cost-i.mp4 (8.06 MB)
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11 computing-the-cost-ii.mp4 (9.52 MB)
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13 one-shot-learning.mp4 (6.04 MB)
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15 training-testing.mp4 (6.82 MB)
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