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Part1: Theory 11
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1. IntroductionLecture1.101 hour 02 min
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2. What is Recurrent Neural Network ?Lecture1.201 hour
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3. When will we use RNN ?Lecture1.333 min
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4. ตัวอย่างการคำนวณ Vanilla RNNLecture1.450 min
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5. Bag of WordsLecture1.537 min
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6. OverviewLecture1.611 min
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7. LSTM Part 1Lecture1.722 min
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8. LSTM Part 2Lecture1.835 min
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9. LSTM Part 3Lecture1.924 min
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10. GRUsLecture1.1040 min
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11. Word2VecLecture1.1156 min
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Part2: Exercise 3
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12. Workshop – Bag of WordsLecture2.101 hour 08 min
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13. วิธีการ Feed Time Series DataLecture2.240 min
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14. Workshop – Time SeriesLecture2.358 min
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Part3: Normalization 1
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15. NormalizationLecture3.152 min
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Part4: Basic Knowledge 5
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16. DerivativeLecture4.152 min
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17. Chain RuleLecture4.212 min
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18. MatrrixLecture4.318 min
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19. PythonLecture4.401 hour 06 min
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20. NumpyLecture4.537 min
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