Udemy - Building your own Neural Network from Scratch with Python 2021


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File Size:   4.31 GB
Creat Time:   2024-06-10
Active Degree:   28
Last Active:   2024-11-13
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Tags:    Udemy - Building your own Neural Network from Scratch with Python 2021
Statement:   This site does not provide download links, only text displays, and does not contain any infringement.

File List

  1. 5. Neural Networks/3. Training and Optimization.mp4 374.98 MB
  2. 3. Introduction to Machine Learning/5. Linear Regression.mp4 246.75 MB
  3. 3. Introduction to Machine Learning/6. Logistic Regression.mp4 234.95 MB
  4. 5. Neural Networks/4. Training and Optimization Practice.mp4 217.68 MB
  5. 3. Introduction to Machine Learning/10. Performance Measurement.mp4 215.25 MB
  6. 2. Essential Python Programming/14. Numpy Package.mp4 212.95 MB
  7. 4. Softmax Regression/4. Training and Optimization.mp4 211.99 MB
  8. 5. Neural Networks/1. Modeling.mp4 190.77 MB
  9. 3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.mp4 183.26 MB
  10. 5. Neural Networks/7. Solving Overfitting and Underfitting.mp4 168.34 MB
  11. 2. Essential Python Programming/2. Variables and Basic Operators.mp4 138.17 MB
  12. 3. Introduction to Machine Learning/7. Linear Regression Practice.mp4 133.33 MB
  13. 3. Introduction to Machine Learning/9. Optimization.mp4 129.96 MB
  14. 5. Neural Networks/10. Weight Initialization.mp4 105.68 MB
  15. 5. Neural Networks/13. Normalization.mp4 103.25 MB
  16. 3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.mp4 100.94 MB
  17. 2. Essential Python Programming/4. Loops.mp4 95.44 MB
  18. 2. Essential Python Programming/12. Decorators.mp4 92.93 MB
  19. 2. Essential Python Programming/3. Conditional Statements.mp4 91.71 MB
  20. 2. Essential Python Programming/5. Methods.mp4 90.56 MB
  21. 3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.mp4 84.69 MB
  22. 3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.mp4 82.24 MB
  23. 3. Introduction to Machine Learning/8. Logistic Regression Practice.mp4 74.20 MB
  24. 4. Softmax Regression/5. Performance Measurement.mp4 64.05 MB
  25. 2. Essential Python Programming/6. Objects and Classes.mp4 60.54 MB
  26. 5. Neural Networks/6. Validation and Testing.mp4 60.38 MB
  27. 2. Essential Python Programming/9. Inheritance.mp4 58.71 MB
  28. 1. Introduction/2. General Introduction.mp4 55.26 MB
  29. 2. Essential Python Programming/7. Operator Overloading.mp4 54.15 MB
  30. 4. Softmax Regression/1. Data.mp4 49.79 MB
  31. 2. Essential Python Programming/8. Method Types.mp4 49.51 MB
  32. 4. Softmax Regression/3. Error Sanctioning.mp4 48.24 MB
  33. 2. Essential Python Programming/13. Generators.mp4 47.69 MB
  34. 3. Introduction to Machine Learning/11. Validation and Testing.mp4 43.59 MB
  35. 4. Softmax Regression/2. Modeling.mp4 37.18 MB
  36. 5. Neural Networks/15. In Class Exercise.mp4 28.24 MB
  37. 5. Neural Networks/11. Data Imbalance.mp4 28.09 MB
  38. 5. Neural Networks/5. Performance Measurement.mp4 22.77 MB
  39. 2. Essential Python Programming/15. Introduction to Matplotlib.mp4 22.05 MB
  40. 2. Essential Python Programming/1. Python Installation.mp4 18.58 MB
  41. 5. Neural Networks/14. Hyperparameter tuning.mp4 14.80 MB
  42. 2. Essential Python Programming/11. Polymorphism.mp4 13.72 MB
  43. 5. Neural Networks/12. Learning rate decay.mp4 12.73 MB
  44. 2. Essential Python Programming/10. Encapsulation.mp4 11.86 MB
  45. 5. Neural Networks/2. Error Sanctioning.mp4 8.66 MB
  46. 1. Introduction/3. About this Course.mp4 7.43 MB
  47. 5. Neural Networks/8. Shuffling.mp4 5.93 MB
  48. 5. Neural Networks/9. Ensembling.mp4 4.58 MB
  49. 1. Introduction/1. Welcome.mp4 3.91 MB
  50. 2. Essential Python Programming/14. Numpy Package.srt 57 KB

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