[ CourseWikia.com ] Deep Learning with Python and Keras - Build a Model For Sentiment Analysis

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CourseWikia  com  Deep  Learning  with  Python  and  Keras  Build  Model  For  Sentiment  Analysis  
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Files
  1. Get Bonus Downloads Here.url 181B
  2. ~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.mp4 7.23MB
  3. ~Get Your Files Here !/01 - Introduction/01 - An overview of sentiment analysis.srt 8.57KB
  4. ~Get Your Files Here !/01 - Introduction/02 - Prerequisites.mp4 1.36MB
  5. ~Get Your Files Here !/01 - Introduction/02 - Prerequisites.srt 1.85KB
  6. ~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.mp4 3.83MB
  7. ~Get Your Files Here !/02 - 1. Chapter Name/01 - Preprocessing text for sentiment analysis.srt 5.09KB
  8. ~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.mp4 8.99MB
  9. ~Get Your Files Here !/02 - 1. Chapter Name/02 - Word vector encodings and word embeddings.srt 10.82KB
  10. ~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.mp4 5.44MB
  11. ~Get Your Files Here !/02 - 1. Chapter Name/03 - Types of sentiment analysis.srt 6.36KB
  12. ~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.mp4 8.56MB
  13. ~Get Your Files Here !/02 - 1. Chapter Name/04 - Approaches and challenges in sentiment analysis.srt 10.79KB
  14. ~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.mp4 6.41MB
  15. ~Get Your Files Here !/03 - 2. Chapter Name/01 - Getting set up with Google Colab.srt 6.63KB
  16. ~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.mp4 7.44MB
  17. ~Get Your Files Here !/03 - 2. Chapter Name/02 - Importing Python modules and loading data.srt 7.20KB
  18. ~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.mp4 7.28MB
  19. ~Get Your Files Here !/03 - 2. Chapter Name/03 - Analyzing word lengths across sentiment categories.srt 7.64KB
  20. ~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.mp4 12.85MB
  21. ~Get Your Files Here !/03 - 2. Chapter Name/04 - Cleaning and preprocessing text.srt 10.62KB
  22. ~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.mp4 4.81MB
  23. ~Get Your Files Here !/03 - 2. Chapter Name/05 - Visualizing text using word clouds.srt 2.97KB
  24. ~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.mp4 7.38MB
  25. ~Get Your Files Here !/04 - 3. Chapter Name/01 - Feed-forward neural networks.srt 7.95KB
  26. ~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.mp4 6.96MB
  27. ~Get Your Files Here !/04 - 3. Chapter Name/02 - Splitting data into training test and validation sets.srt 6.77KB
  28. ~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.mp4 14.17MB
  29. ~Get Your Files Here !/04 - 3. Chapter Name/03 - Representing text using count vectorization.srt 13.42KB
  30. ~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).mp4 8.95MB
  31. ~Get Your Files Here !/04 - 3. Chapter Name/04 - Configuring the dense neural network (DNN).srt 9.25KB
  32. ~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.mp4 6.57MB
  33. ~Get Your Files Here !/04 - 3. Chapter Name/05 - Training and evaluating the DNN.srt 5.50KB
  34. ~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.mp4 5.08MB
  35. ~Get Your Files Here !/04 - 3. Chapter Name/06 - Configuring the count vectorizer as a model layer.srt 4.49KB
  36. ~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.mp4 9.06MB
  37. ~Get Your Files Here !/04 - 3. Chapter Name/07 - Representing text using TFIDF vectorization.srt 8.43KB
  38. ~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.mp4 7.62MB
  39. ~Get Your Files Here !/04 - 3. Chapter Name/08 - Training and evaluating the model.srt 5.48KB
  40. ~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.mp4 5.16MB
  41. ~Get Your Files Here !/04 - 3. Chapter Name/09 - Representing text using integer sequences.srt 5.06KB
  42. ~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.mp4 14.67MB
  43. ~Get Your Files Here !/04 - 3. Chapter Name/10 - Training ADNN using embeddings.srt 12.38KB
  44. ~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.mp4 6.23MB
  45. ~Get Your Files Here !/05 - 4. Chapter Name/01 - Recurrent neural networks.srt 6.92KB
  46. ~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.mp4 8.52MB
  47. ~Get Your Files Here !/05 - 4. Chapter Name/02 - Long memory cells.srt 8.96KB
  48. ~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.mp4 5.55MB
  49. ~Get Your Files Here !/05 - 4. Chapter Name/03 - The LSTM and GRU cells.srt 6.37KB
  50. ~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.mp4 7.76MB
  51. ~Get Your Files Here !/05 - 4. Chapter Name/04 - Training a recurrent neural network.srt 6.21KB
  52. ~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.mp4 7.00MB
  53. ~Get Your Files Here !/05 - 4. Chapter Name/05 - Training an LSTM network.srt 5.23KB
  54. ~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.mp4 6.48MB
  55. ~Get Your Files Here !/05 - 4. Chapter Name/06 - Serializing a model to disk and loading the model.srt 6.19KB
  56. ~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.mp4 2.80MB
  57. ~Get Your Files Here !/06 - Conclusion/01 - Summary and next steps.srt 3.66KB
  58. ~Get Your Files Here !/Bonus Resources.txt 386B
  59. ~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/dataset/Tweets.csv 3.34MB
  60. ~Get Your Files Here !/Ex_Files_Deep_Learning_Python_Keras/Exercise Files/final_code/demo_01_SentimentAnalysisUsingNeuralNetworksWithKeras.ipynb 1.81MB