Udemy - Machine Learning Natural Language Processing in Python (V2) (12.2024)

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    • Files
    1. 1 - Introduction/1 -Introduction and Outline.mp472.97 MB
    2. 1 - Introduction/1 -Introduction and Outline.vtt13.67 KB
    3. 1 - Introduction/2 -Are You Beginner, Intermediate, or Advanced All are OK!.mp426.66 MB
    4. 1 - Introduction/2 -Are You Beginner, Intermediate, or Advanced All are OK!.vtt6.37 KB
    5. 1 - Introduction/subtitles/1 -Introduction and Outline.ko_KR.vtt13.40 KB
    6. 1 - Introduction/subtitles/2 -Are You Beginner, Intermediate, or Advanced All are OK!.ko_KR.vtt6.33 KB
    7. 10 - Sentiment Analysis/1 -Sentiment Analysis - Problem Description.mp442.70 MB
    8. 10 - Sentiment Analysis/1 -Sentiment Analysis - Problem Description.vtt8.66 KB
    9. 10 - Sentiment Analysis/2 -Logistic Regression Intuition (pt 1).mp463.57 MB
    10. 10 - Sentiment Analysis/2 -Logistic Regression Intuition (pt 1).vtt19.71 KB
    11. 10 - Sentiment Analysis/3 -Multiclass Logistic Regression (pt 2).mp423.61 MB
    12. 10 - Sentiment Analysis/3 -Multiclass Logistic Regression (pt 2).vtt7.44 KB
    13. 10 - Sentiment Analysis/4 -Logistic Regression Training and Interpretation (pt 3).mp439.63 MB
    14. 10 - Sentiment Analysis/4 -Logistic Regression Training and Interpretation (pt 3).vtt9.51 KB
    15. 10 - Sentiment Analysis/5 -Sentiment Analysis - Exercise Prompt.mp416.55 MB
    16. 10 - Sentiment Analysis/5 -Sentiment Analysis - Exercise Prompt.vtt4.50 KB
    17. 10 - Sentiment Analysis/6 -Sentiment Analysis in Python (pt 1).mp463.15 MB
    18. 10 - Sentiment Analysis/6 -Sentiment Analysis in Python (pt 1).vtt10.22 KB
    19. 10 - Sentiment Analysis/7 -Sentiment Analysis in Python (pt 2).mp451.96 MB
    20. 10 - Sentiment Analysis/7 -Sentiment Analysis in Python (pt 2).vtt8.51 KB
    21. 10 - Sentiment Analysis/subtitles/1 -Sentiment Analysis - Problem Description.ko_KR.vtt8.63 KB
    22. 10 - Sentiment Analysis/subtitles/2 -Logistic Regression Intuition (pt 1).ko_KR.vtt18.89 KB
    23. 10 - Sentiment Analysis/subtitles/3 -Multiclass Logistic Regression (pt 2).ko_KR.vtt7.33 KB
    24. 10 - Sentiment Analysis/subtitles/4 -Logistic Regression Training and Interpretation (pt 3).ko_KR.vtt9.04 KB
    25. 10 - Sentiment Analysis/subtitles/5 -Sentiment Analysis - Exercise Prompt.ko_KR.vtt4.40 KB
    26. 10 - Sentiment Analysis/subtitles/6 -Sentiment Analysis in Python (pt 1).ko_KR.vtt10.19 KB
    27. 10 - Sentiment Analysis/subtitles/7 -Sentiment Analysis in Python (pt 2).ko_KR.vtt8.63 KB
    28. 11 - Text Summarization/1 -Text Summarization Section Introduction.mp425.75 MB
    29. 11 - Text Summarization/1 -Text Summarization Section Introduction.vtt6.65 KB
    30. 11 - Text Summarization/10 -Text Summarization Section Summary.mp420.10 MB
    31. 11 - Text Summarization/10 -Text Summarization Section Summary.vtt3.90 KB
    32. 11 - Text Summarization/2 -Text Summarization Using Vectors.mp425.77 MB
    33. 11 - Text Summarization/2 -Text Summarization Using Vectors.vtt6.42 KB
    34. 11 - Text Summarization/3 -Text Summarization Exercise Prompt.mp48.10 MB
    35. 11 - Text Summarization/3 -Text Summarization Exercise Prompt.vtt2.04 KB
    36. 11 - Text Summarization/4 -Text Summarization in Python.mp478.15 MB
    37. 11 - Text Summarization/4 -Text Summarization in Python.vtt13.21 KB
    38. 11 - Text Summarization/5 -TextRank Intuition.mp445.92 MB
    39. 11 - Text Summarization/5 -TextRank Intuition.vtt9.61 KB
    40. 11 - Text Summarization/6 -TextRank - How It Really Works (Advanced).mp449.31 MB
    41. 11 - Text Summarization/6 -TextRank - How It Really Works (Advanced).vtt11.90 KB
    42. 11 - Text Summarization/7 -TextRank Exercise Prompt (Advanced).mp47.47 MB
    43. 11 - Text Summarization/7 -TextRank Exercise Prompt (Advanced).vtt1.54 KB
    44. 11 - Text Summarization/8 -TextRank in Python (Advanced).mp482.30 MB
    45. 11 - Text Summarization/8 -TextRank in Python (Advanced).vtt14.97 KB
    46. 11 - Text Summarization/9 -Text Summarization in Python - The Easy Way (Beginner).mp445.17 MB
    47. 11 - Text Summarization/9 -Text Summarization in Python - The Easy Way (Beginner).vtt6.87 KB
    48. 11 - Text Summarization/subtitles/1 -Text Summarization Section Introduction.ko_KR.vtt6.30 KB
    49. 11 - Text Summarization/subtitles/10 -Text Summarization Section Summary.ko_KR.vtt3.80 KB
    50. 11 - Text Summarization/subtitles/2 -Text Summarization Using Vectors.ko_KR.vtt6.31 KB
    51. 11 - Text Summarization/subtitles/3 -Text Summarization Exercise Prompt.ko_KR.vtt2.06 KB
    52. 11 - Text Summarization/subtitles/4 -Text Summarization in Python.ko_KR.vtt13.36 KB
    53. 11 - Text Summarization/subtitles/5 -TextRank Intuition.ko_KR.vtt9.41 KB
    54. 11 - Text Summarization/subtitles/6 -TextRank - How It Really Works (Advanced).ko_KR.vtt11.58 KB
    55. 11 - Text Summarization/subtitles/7 -TextRank Exercise Prompt (Advanced).ko_KR.vtt1.55 KB
    56. 11 - Text Summarization/subtitles/8 -TextRank in Python (Advanced).ko_KR.vtt14.51 KB
    57. 11 - Text Summarization/subtitles/9 -Text Summarization in Python - The Easy Way (Beginner).ko_KR.vtt6.66 KB
    58. 12 - Topic Modeling/1 -Topic Modeling Section Introduction.mp417.04 MB
    59. 12 - Topic Modeling/1 -Topic Modeling Section Introduction.vtt3.64 KB
    60. 12 - Topic Modeling/2 -Latent Dirichlet Allocation (LDA) - Essentials.mp455.18 MB
    61. 12 - Topic Modeling/2 -Latent Dirichlet Allocation (LDA) - Essentials.vtt13.33 KB
    62. 12 - Topic Modeling/3 -LDA - Code Preparation.mp414.51 MB
    63. 12 - Topic Modeling/3 -LDA - Code Preparation.vtt4.33 KB
    64. 12 - Topic Modeling/4 -LDA - Maybe Useful Picture (Optional).mp48.98 MB
    65. 12 - Topic Modeling/4 -LDA - Maybe Useful Picture (Optional).vtt2.22 KB
    66. 12 - Topic Modeling/5 -Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp460.18 MB
    67. 12 - Topic Modeling/5 -Latent Dirichlet Allocation (LDA) - Intuition (Advanced).vtt17.63 KB
    68. 12 - Topic Modeling/6 -Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp472.38 MB
    69. 12 - Topic Modeling/6 -Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.vtt11.63 KB
    70. 12 - Topic Modeling/7 -Non-Negative Matrix Factorization (NMF) Intuition.mp452.48 MB
    71. 12 - Topic Modeling/7 -Non-Negative Matrix Factorization (NMF) Intuition.vtt12.11 KB
    72. 12 - Topic Modeling/8 -Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp436.03 MB
    73. 12 - Topic Modeling/8 -Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.vtt4.30 KB
    74. 12 - Topic Modeling/9 -Topic Modeling Section Summary.mp49.81 MB
    75. 12 - Topic Modeling/9 -Topic Modeling Section Summary.vtt1.76 KB
    76. 12 - Topic Modeling/subtitles/1 -Topic Modeling Section Introduction.ko_KR.vtt3.83 KB
    77. 12 - Topic Modeling/subtitles/2 -Latent Dirichlet Allocation (LDA) - Essentials.ko_KR.vtt13.46 KB
    78. 12 - Topic Modeling/subtitles/3 -LDA - Code Preparation.ko_KR.vtt4.51 KB
    79. 12 - Topic Modeling/subtitles/4 -LDA - Maybe Useful Picture (Optional).ko_KR.vtt2.33 KB
    80. 12 - Topic Modeling/subtitles/5 -Latent Dirichlet Allocation (LDA) - Intuition (Advanced).ko_KR.vtt17.58 KB
    81. 12 - Topic Modeling/subtitles/6 -Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.ko_KR.vtt11.89 KB
    82. 12 - Topic Modeling/subtitles/7 -Non-Negative Matrix Factorization (NMF) Intuition.ko_KR.vtt11.85 KB
    83. 12 - Topic Modeling/subtitles/8 -Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.ko_KR.vtt4.37 KB
    84. 12 - Topic Modeling/subtitles/9 -Topic Modeling Section Summary.ko_KR.vtt1.86 KB
    85. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/1 -LSA LSI Section Introduction.mp420.95 MB
    86. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/1 -LSA LSI Section Introduction.vtt4.57 KB
    87. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/2 -SVD (Singular Value Decomposition) Intuition.mp481.84 MB
    88. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/2 -SVD (Singular Value Decomposition) Intuition.vtt13.49 KB
    89. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/3 -LSA LSI Applying SVD to NLP.mp434.42 MB
    90. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/3 -LSA LSI Applying SVD to NLP.vtt8.99 KB
    91. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/4 -Latent Semantic Analysis Latent Semantic Indexing in Python.mp457.55 MB
    92. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/4 -Latent Semantic Analysis Latent Semantic Indexing in Python.vtt8.86 KB
    93. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/5 -LSA LSI Exercises.mp429.05 MB
    94. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/5 -LSA LSI Exercises.vtt6.48 KB
    95. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/subtitles/1 -LSA LSI Section Introduction.ko_KR.vtt4.94 KB
    96. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/subtitles/2 -SVD (Singular Value Decomposition) Intuition.ko_KR.vtt12.78 KB
    97. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/subtitles/3 -LSA LSI Applying SVD to NLP.ko_KR.vtt8.90 KB
    98. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/subtitles/4 -Latent Semantic Analysis Latent Semantic Indexing in Python.ko_KR.vtt8.89 KB
    99. 13 - Latent Semantic Analysis (Latent Semantic Indexing)/subtitles/5 -LSA LSI Exercises.ko_KR.vtt6.52 KB
    100. 14 - Deep Learning (Introduction)/1 -Deep Learning Introduction (Intermediate-Advanced).mp424.52 MB
    101. 14 - Deep Learning (Introduction)/1 -Deep Learning Introduction (Intermediate-Advanced).vtt5.96 KB
    102. 14 - Deep Learning (Introduction)/subtitles/1 -Deep Learning Introduction (Intermediate-Advanced).ko_KR.vtt5.69 KB
    103. 15 - The Neuron/1 -The Neuron - Section Introduction.mp411.01 MB
    104. 15 - The Neuron/1 -The Neuron - Section Introduction.vtt2.63 KB
    105. 15 - The Neuron/2 -Fitting a Line.mp468.61 MB
    106. 15 - The Neuron/2 -Fitting a Line.vtt16.10 KB
    107. 15 - The Neuron/3 -Classification Code Preparation.mp432.88 MB
    108. 15 - The Neuron/3 -Classification Code Preparation.vtt8.35 KB
    109. 15 - The Neuron/4 -Text Classification in Tensorflow.mp481.66 MB
    110. 15 - The Neuron/4 -Text Classification in Tensorflow.vtt10.29 KB
    111. 15 - The Neuron/5 -The Neuron.mp445.25 MB
    112. 15 - The Neuron/5 -The Neuron.vtt11.12 KB
    113. 15 - The Neuron/6 -How does a model learn.mp451.58 MB
    114. 15 - The Neuron/6 -How does a model learn.vtt12.56 KB
    115. 15 - The Neuron/7 -The Neuron - Section Summary.mp410.31 MB
    116. 15 - The Neuron/7 -The Neuron - Section Summary.vtt1.96 KB
    117. 15 - The Neuron/subtitles/1 -The Neuron - Section Introduction.ko_KR.vtt2.38 KB
    118. 15 - The Neuron/subtitles/2 -Fitting a Line.ko_KR.vtt16.29 KB
    119. 15 - The Neuron/subtitles/3 -Classification Code Preparation.ko_KR.vtt8.15 KB
    120. 15 - The Neuron/subtitles/4 -Text Classification in Tensorflow.ko_KR.vtt10.54 KB
    121. 15 - The Neuron/subtitles/5 -The Neuron.ko_KR.vtt10.39 KB
    122. 15 - The Neuron/subtitles/6 -How does a model learn.ko_KR.vtt12.24 KB
    123. 15 - The Neuron/subtitles/7 -The Neuron - Section Summary.ko_KR.vtt2.00 KB
    124. 16 - Feedforward Artificial Neural Networks/1 -ANN - Section Introduction.mp438.63 MB
    125. 16 - Feedforward Artificial Neural Networks/1 -ANN - Section Introduction.vtt8.21 KB
    126. 16 - Feedforward Artificial Neural Networks/10 -Embeddings.mp442.28 MB
    127. 16 - Feedforward Artificial Neural Networks/10 -Embeddings.vtt11.07 KB
    128. 16 - Feedforward Artificial Neural Networks/11 -CBOW (Advanced).mp415.77 MB
    129. 16 - Feedforward Artificial Neural Networks/11 -CBOW (Advanced).vtt4.60 KB
    130. 16 - Feedforward Artificial Neural Networks/12 -CBOW Exercise Prompt.mp45.02 MB
    131. 16 - Feedforward Artificial Neural Networks/12 -CBOW Exercise Prompt.vtt883 B
    132. 16 - Feedforward Artificial Neural Networks/13 -CBOW in Tensorflow (Advanced).mp4117.55 MB
    133. 16 - Feedforward Artificial Neural Networks/13 -CBOW in Tensorflow (Advanced).vtt17.73 KB
    134. 16 - Feedforward Artificial Neural Networks/14 -ANN - Section Summary.mp47.60 MB
    135. 16 - Feedforward Artificial Neural Networks/14 -ANN - Section Summary.vtt1.69 KB
    136. 16 - Feedforward Artificial Neural Networks/15 -Aside How to Choose Hyperparameters (Optional).mp438.07 MB
    137. 16 - Feedforward Artificial Neural Networks/15 -Aside How to Choose Hyperparameters (Optional).vtt7.52 KB
    138. 16 - Feedforward Artificial Neural Networks/2 -Forward Propagation.mp446.72 MB
    139. 16 - Feedforward Artificial Neural Networks/2 -Forward Propagation.vtt10.97 KB
    140. 16 - Feedforward Artificial Neural Networks/3 -The Geometrical Picture.mp456.53 MB
    141. 16 - Feedforward Artificial Neural Networks/3 -The Geometrical Picture.vtt10.38 KB
    142. 16 - Feedforward Artificial Neural Networks/4 -Activation Functions.mp489.31 MB
    143. 16 - Feedforward Artificial Neural Networks/4 -Activation Functions.vtt20.05 KB
    144. 16 - Feedforward Artificial Neural Networks/5 -Multiclass Classification.mp444.41 MB
    145. 16 - Feedforward Artificial Neural Networks/5 -Multiclass Classification.vtt9.94 KB
    146. 16 - Feedforward Artificial Neural Networks/6 -ANN Code Preparation.mp420.14 MB
    147. 16 - Feedforward Artificial Neural Networks/6 -ANN Code Preparation.vtt5.26 KB
    148. 16 - Feedforward Artificial Neural Networks/7 -Text Classification ANN in Tensorflow.mp436.12 MB
    149. 16 - Feedforward Artificial Neural Networks/7 -Text Classification ANN in Tensorflow.vtt4.43 KB
    150. 16 - Feedforward Artificial Neural Networks/8 -Text Preprocessing Code Preparation.mp449.99 MB
    151. 16 - Feedforward Artificial Neural Networks/8 -Text Preprocessing Code Preparation.vtt13.04 KB
    152. 16 - Feedforward Artificial Neural Networks/9 -Text Preprocessing in Tensorflow.mp430.93 MB
    153. 16 - Feedforward Artificial Neural Networks/9 -Text Preprocessing in Tensorflow.vtt5.50 KB
    154. 16 - Feedforward Artificial Neural Networks/subtitles/1 -ANN - Section Introduction.ko_KR.vtt7.85 KB
    155. 16 - Feedforward Artificial Neural Networks/subtitles/10 -Embeddings.ko_KR.vtt11.04 KB
    156. 16 - Feedforward Artificial Neural Networks/subtitles/11 -CBOW (Advanced).ko_KR.vtt4.51 KB
    157. 16 - Feedforward Artificial Neural Networks/subtitles/12 -CBOW Exercise Prompt.ko_KR.vtt907 B
    158. 16 - Feedforward Artificial Neural Networks/subtitles/13 -CBOW in Tensorflow (Advanced).ko_KR.vtt18.13 KB
    159. 16 - Feedforward Artificial Neural Networks/subtitles/14 -ANN - Section Summary.ko_KR.vtt1.63 KB
    160. 16 - Feedforward Artificial Neural Networks/subtitles/15 -Aside How to Choose Hyperparameters (Optional).ko_KR.vtt7.32 KB
    161. 16 - Feedforward Artificial Neural Networks/subtitles/2 -Forward Propagation.ko_KR.vtt10.34 KB
    162. 16 - Feedforward Artificial Neural Networks/subtitles/3 -The Geometrical Picture.ko_KR.vtt10.19 KB
    163. 16 - Feedforward Artificial Neural Networks/subtitles/4 -Activation Functions.ko_KR.vtt19.22 KB
    164. 16 - Feedforward Artificial Neural Networks/subtitles/5 -Multiclass Classification.ko_KR.vtt9.78 KB
    165. 16 - Feedforward Artificial Neural Networks/subtitles/6 -ANN Code Preparation.ko_KR.vtt5.36 KB
    166. 16 - Feedforward Artificial Neural Networks/subtitles/7 -Text Classification ANN in Tensorflow.ko_KR.vtt4.44 KB
    167. 16 - Feedforward Artificial Neural Networks/subtitles/8 -Text Preprocessing Code Preparation.ko_KR.vtt13.03 KB
    168. 16 - Feedforward Artificial Neural Networks/subtitles/9 -Text Preprocessing in Tensorflow.ko_KR.vtt5.31 KB
    169. 17 - Convolutional Neural Networks/1 -CNN - Section Introduction.mp425.62 MB
    170. 17 - Convolutional Neural Networks/1 -CNN - Section Introduction.vtt5.22 KB
    171. 17 - Convolutional Neural Networks/2 -What is Convolution.mp479.86 MB
    172. 17 - Convolutional Neural Networks/2 -What is Convolution.vtt18.02 KB
    173. 17 - Convolutional Neural Networks/3 -What is Convolution (Pattern Matching).mp424.62 MB
    174. 17 - Convolutional Neural Networks/3 -What is Convolution (Pattern Matching).vtt6.14 KB
    175. 17 - Convolutional Neural Networks/4 -What is Convolution (Weight Sharing).mp429.81 MB
    176. 17 - Convolutional Neural Networks/4 -What is Convolution (Weight Sharing).vtt7.05 KB
    177. 17 - Convolutional Neural Networks/5 -Convolution on Color Images.mp475.19 MB
    178. 17 - Convolutional Neural Networks/5 -Convolution on Color Images.vtt18.30 KB
    179. 17 - Convolutional Neural Networks/6 -CNN Architecture.mp489.28 MB
    180. 17 - Convolutional Neural Networks/6 -CNN Architecture.vtt25.00 KB
    181. 17 - Convolutional Neural Networks/7 -CNNs for Text.mp440.48 MB
    182. 17 - Convolutional Neural Networks/7 -CNNs for Text.vtt8.58 KB
    183. 17 - Convolutional Neural Networks/8 -Convolutional Neural Network for NLP in Tensorflow.mp442.04 MB
    184. 17 - Convolutional Neural Networks/8 -Convolutional Neural Network for NLP in Tensorflow.vtt4.41 KB
    185. 17 - Convolutional Neural Networks/9 -CNN - Section Summary.mp48.19 MB
    186. 17 - Convolutional Neural Networks/9 -CNN - Section Summary.vtt1.48 KB
    187. 17 - Convolutional Neural Networks/subtitles/1 -CNN - Section Introduction.ko_KR.vtt5.12 KB
    188. 17 - Convolutional Neural Networks/subtitles/2 -What is Convolution.ko_KR.vtt17.99 KB
    189. 17 - Convolutional Neural Networks/subtitles/3 -What is Convolution (Pattern Matching).ko_KR.vtt5.80 KB
    190. 17 - Convolutional Neural Networks/subtitles/4 -What is Convolution (Weight Sharing).ko_KR.vtt6.94 KB
    191. 17 - Convolutional Neural Networks/subtitles/5 -Convolution on Color Images.ko_KR.vtt17.30 KB
    192. 17 - Convolutional Neural Networks/subtitles/6 -CNN Architecture.ko_KR.vtt24.52 KB
    193. 17 - Convolutional Neural Networks/subtitles/7 -CNNs for Text.ko_KR.vtt8.40 KB
    194. 17 - Convolutional Neural Networks/subtitles/8 -Convolutional Neural Network for NLP in Tensorflow.ko_KR.vtt4.53 KB
    195. 17 - Convolutional Neural Networks/subtitles/9 -CNN - Section Summary.ko_KR.vtt1.47 KB
    196. 18 - Recurrent Neural Networks/1 -RNN - Section Introduction.mp420.90 MB
    197. 18 - Recurrent Neural Networks/1 -RNN - Section Introduction.vtt5.61 KB
    198. 18 - Recurrent Neural Networks/10 -Named Entity Recognition (NER) in Tensorflow.mp431.54 MB
    199. 18 - Recurrent Neural Networks/10 -Named Entity Recognition (NER) in Tensorflow.vtt5.35 KB
    200. 18 - Recurrent Neural Networks/11 -Exercise Return to CNNs (Advanced).mp414.55 MB
    201. 18 - Recurrent Neural Networks/11 -Exercise Return to CNNs (Advanced).vtt3.63 KB
    202. 18 - Recurrent Neural Networks/12 -RNN - Section Summary.mp49.09 MB
    203. 18 - Recurrent Neural Networks/12 -RNN - Section Summary.vtt2.03 KB
    204. 18 - Recurrent Neural Networks/2 -Simple RNN Elman Unit (pt 1).mp440.83 MB
    205. 18 - Recurrent Neural Networks/2 -Simple RNN Elman Unit (pt 1).vtt10.17 KB
    206. 18 - Recurrent Neural Networks/3 -Simple RNN Elman Unit (pt 2).mp441.18 MB
    207. 18 - Recurrent Neural Networks/3 -Simple RNN Elman Unit (pt 2).vtt11.36 KB
    208. 18 - Recurrent Neural Networks/4 -RNN Code Preparation.mp442.14 MB
    209. 18 - Recurrent Neural Networks/4 -RNN Code Preparation.vtt11.06 KB
    210. 18 - Recurrent Neural Networks/5 -RNNs Paying Attention to Shapes.mp457.17 MB
    211. 18 - Recurrent Neural Networks/5 -RNNs Paying Attention to Shapes.vtt8.87 KB
    212. 18 - Recurrent Neural Networks/6 -GRU and LSTM (pt 1).mp482.25 MB
    213. 18 - Recurrent Neural Networks/6 -GRU and LSTM (pt 1).vtt20.25 KB
    214. 18 - Recurrent Neural Networks/7 -GRU and LSTM (pt 2).mp450.34 MB
    215. 18 - Recurrent Neural Networks/7 -GRU and LSTM (pt 2).vtt13.19 KB
    216. 18 - Recurrent Neural Networks/8 -RNN for Text Classification in Tensorflow.mp445.91 MB
    217. 18 - Recurrent Neural Networks/8 -RNN for Text Classification in Tensorflow.vtt4.88 KB
    218. 18 - Recurrent Neural Networks/9 -Parts-of-Speech (POS) Tagging in Tensorflow.mp4145.10 MB
    219. 18 - Recurrent Neural Networks/9 -Parts-of-Speech (POS) Tagging in Tensorflow.vtt19.81 KB
    220. 18 - Recurrent Neural Networks/subtitles/1 -RNN - Section Introduction.ko_KR.vtt5.55 KB
    221. 18 - Recurrent Neural Networks/subtitles/10 -Named Entity Recognition (NER) in Tensorflow.ko_KR.vtt5.42 KB
    222. 18 - Recurrent Neural Networks/subtitles/11 -Exercise Return to CNNs (Advanced).ko_KR.vtt3.65 KB
    223. 18 - Recurrent Neural Networks/subtitles/12 -RNN - Section Summary.ko_KR.vtt2.03 KB
    224. 18 - Recurrent Neural Networks/subtitles/2 -Simple RNN Elman Unit (pt 1).ko_KR.vtt9.81 KB
    225. 18 - Recurrent Neural Networks/subtitles/3 -Simple RNN Elman Unit (pt 2).ko_KR.vtt11.20 KB
    226. 18 - Recurrent Neural Networks/subtitles/4 -RNN Code Preparation.ko_KR.vtt11.14 KB
    227. 18 - Recurrent Neural Networks/subtitles/5 -RNNs Paying Attention to Shapes.ko_KR.vtt8.64 KB
    228. 18 - Recurrent Neural Networks/subtitles/6 -GRU and LSTM (pt 1).ko_KR.vtt19.47 KB
    229. 18 - Recurrent Neural Networks/subtitles/7 -GRU and LSTM (pt 2).ko_KR.vtt12.49 KB
    230. 18 - Recurrent Neural Networks/subtitles/8 -RNN for Text Classification in Tensorflow.ko_KR.vtt5.03 KB
    231. 18 - Recurrent Neural Networks/subtitles/9 -Parts-of-Speech (POS) Tagging in Tensorflow.ko_KR.vtt19.90 KB
    232. 19 - Course Conclusion/1 -What to Learn Next.mp437.38 MB
    233. 19 - Course Conclusion/1 -What to Learn Next.vtt8.00 KB
    234. 19 - Course Conclusion/2 -Where is BERT, ChatGPT, GPT-4,.mp442.82 MB
    235. 19 - Course Conclusion/2 -Where is BERT, ChatGPT, GPT-4,.vtt9.18 KB
    236. 19 - Course Conclusion/subtitles/1 -What to Learn Next.ko_KR.vtt8.02 KB
    237. 19 - Course Conclusion/subtitles/2 -Where is BERT, ChatGPT, GPT-4,.ko_KR.vtt8.69 KB
    238. 2 - Getting Set Up/1 -Code Link.url87 B
    239. 2 - Getting Set Up/1 -Github Link.url101 B
    240. 2 - Getting Set Up/1 -Where To Get the Code.mp422.52 MB
    241. 2 - Getting Set Up/1 -Where To Get the Code.vtt5.95 KB
    242. 2 - Getting Set Up/2 -How to Succeed in This Course.mp416.26 MB
    243. 2 - Getting Set Up/2 -How to Succeed in This Course.vtt3.91 KB
    244. 2 - Getting Set Up/3 -Temporary 403 Errors.mp421.99 MB
    245. 2 - Getting Set Up/3 -Temporary 403 Errors.vtt3.22 KB
    246. 2 - Getting Set Up/subtitles/1 -Where To Get the Code.ko_KR.vtt6.20 KB
    247. 2 - Getting Set Up/subtitles/2 -How to Succeed in This Course.ko_KR.vtt3.89 KB
    248. 2 - Getting Set Up/subtitles/3 -Temporary 403 Errors.ko_KR.vtt3.22 KB
    249. 20 - Setting Up Your Environment FAQ/1 -Pre-Installation Check.mp422.75 MB
    250. 20 - Setting Up Your Environment FAQ/1 -Pre-Installation Check.vtt5.74 KB
    251. 20 - Setting Up Your Environment FAQ/2 -Anaconda Environment Setup.mp452.63 MB
    252. 20 - Setting Up Your Environment FAQ/2 -Anaconda Environment Setup.vtt17.41 KB
    253. 20 - Setting Up Your Environment FAQ/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp450.90 MB
    254. 20 - Setting Up Your Environment FAQ/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt12.58 KB
    255. 20 - Setting Up Your Environment FAQ/subtitles/1 -Pre-Installation Check.ko_KR.vtt5.66 KB
    256. 20 - Setting Up Your Environment FAQ/subtitles/2 -Anaconda Environment Setup.ko_KR.vtt18.10 KB
    257. 20 - Setting Up Your Environment FAQ/subtitles/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.ko_KR.vtt12.97 KB
    258. 21 - Extra Help With Python Coding for Beginners FAQ/1 -How to Code by Yourself (part 1).mp471.86 MB
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    260. 21 - Extra Help With Python Coding for Beginners FAQ/2 -How to Code by Yourself (part 2).mp449.15 MB
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    262. 21 - Extra Help With Python Coding for Beginners FAQ/3 -Proof that using Jupyter Notebook is the same as not using it.mp469.42 MB
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    264. 21 - Extra Help With Python Coding for Beginners FAQ/4 -Data Links.url119 B
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    268. 21 - Extra Help With Python Coding for Beginners FAQ/5 -Where To Get the Code Troubleshooting.mp424.30 MB
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    270. 21 - Extra Help With Python Coding for Beginners FAQ/6 -How to use Github & Extra Coding Tips (Optional).mp463.88 MB
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    278. 22 - Effective Learning Strategies for Machine Learning FAQ/1 -How to Succeed in this Course (Long Version).mp417.87 MB
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    280. 22 - Effective Learning Strategies for Machine Learning FAQ/2 -Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95 MB
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    282. 22 - Effective Learning Strategies for Machine Learning FAQ/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp479.67 MB
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    284. 22 - Effective Learning Strategies for Machine Learning FAQ/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4108.15 MB
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    290. 23 - Appendix FAQ Finale/1 -What is the Appendix.mp416.39 MB
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    295. 3 - Vector Models and Text Preprocessing/1 -Vector Models & Text Preprocessing Intro.mp417.52 MB
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    421. 7 - Cipher Decryption (Advanced)/1 -Section Introduction.mp426.32 MB
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