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[FreeCoursesOnline.Me] [Packt] Artificial Intelligence in 3 Hours [FCO]

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视频 2019-5-6 05:51 2024-12-2 14:36 154 856.99 MB 45
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文件列表
  1. 01.Understanding Supervised Machine Learning/0101.The Course Overview.mp444.62MB
  2. 01.Understanding Supervised Machine Learning/0102.Breast Cancer Classification.mp412.87MB
  3. 01.Understanding Supervised Machine Learning/0103.Breast Cancer Dataset Exploration.mp439.76MB
  4. 01.Understanding Supervised Machine Learning/0104.Breast Cancer Dataset Preprocessing.mp415.27MB
  5. 01.Understanding Supervised Machine Learning/0105.Intuition Behind K-Nearest Neighbors Algorithm.mp47.22MB
  6. 01.Understanding Supervised Machine Learning/0106.Creating the KNN Algorithm.mp43.06MB
  7. 01.Understanding Supervised Machine Learning/0107.Grid Search and Hyper Parameters.mp410.01MB
  8. 01.Understanding Supervised Machine Learning/0108.Training the Model.mp44.05MB
  9. 01.Understanding Supervised Machine Learning/0109.Model evaluation.mp417.39MB
  10. 01.Understanding Supervised Machine Learning/0110.What Is Supervised Learning.mp415.78MB
  11. 02.Exploring Unsupervised Machine Learning/0201.Customer Segmentation.mp46.7MB
  12. 02.Exploring Unsupervised Machine Learning/0202.Mall Customers Dataset Exploration.mp47.56MB
  13. 02.Exploring Unsupervised Machine Learning/0203.Mall Customers Dataset Preprocessing.mp4132.04MB
  14. 02.Exploring Unsupervised Machine Learning/0204.Why Do We Split Dataset into Training and Testing Parts.mp45.86MB
  15. 02.Exploring Unsupervised Machine Learning/0205.Intuition Behind K-Means Algorithm.mp433.81MB
  16. 02.Exploring Unsupervised Machine Learning/0206.Creating K-Means Algorithm.mp434.06MB
  17. 02.Exploring Unsupervised Machine Learning/0207.Training and Evaluating the KMeans Model.mp411.76MB
  18. 02.Exploring Unsupervised Machine Learning/0208.Cluster Analysis.mp4123.4MB
  19. 03.Working with Deep Learning/0301.Boston Housing - Task Explanation.mp43.51MB
  20. 03.Working with Deep Learning/0302.Boston Housing Dataset Exploration.mp430.83MB
  21. 03.Working with Deep Learning/0303.Boston Housing Dataset Preprocessing.mp415.44MB
  22. 03.Working with Deep Learning/0304.Explaining the Fully Connected Network.mp415.07MB
  23. 03.Working with Deep Learning/0305.Building the Model.mp46.27MB
  24. 03.Working with Deep Learning/0306.Compiling the Model ( Choosing the Loss Function and Metrics).mp45.29MB
  25. 03.Working with Deep Learning/0307.Training the Model.mp45.32MB
  26. 03.Working with Deep Learning/0308.Model Evaluation.mp47.46MB
  27. 04.Image Classification with Convolutional Neural Networks/0401.Image Classification.mp46.29MB
  28. 04.Image Classification with Convolutional Neural Networks/0402.MNIST Dataset Exploration.mp418.4MB
  29. 04.Image Classification with Convolutional Neural Networks/0403.MNIST Dataset Preprocessing.mp416.37MB
  30. 04.Image Classification with Convolutional Neural Networks/0404.How Do Convolutional Neural Networks Work.mp413.02MB
  31. 04.Image Classification with Convolutional Neural Networks/0405.Building the Model.mp49.46MB
  32. 04.Image Classification with Convolutional Neural Networks/0406.Compiling the Model( Choosing the Loss Function and Metrics).mp42.66MB
  33. 04.Image Classification with Convolutional Neural Networks/0407.Training the Model.mp43.54MB
  34. 04.Image Classification with Convolutional Neural Networks/0408.Model Evaluation.mp46.96MB
  35. 04.Image Classification with Convolutional Neural Networks/0409.Explaining What Tasks Can Be Solved Using CNNs.mp47.62MB
  36. 05.Working With Deep Reinforcement Learning/0501.Explaining What Reinforcement Learning Is.mp410.95MB
  37. 05.Working With Deep Reinforcement Learning/0502.States, Rewards, and Value.mp412.98MB
  38. 05.Working With Deep Reinforcement Learning/0503.Explaining the Deep Q Network.mp49.97MB
  39. 05.Working With Deep Reinforcement Learning/0504.Experience Replay.mp46.67MB
  40. 05.Working With Deep Reinforcement Learning/0505.What Is a Policy.mp411.58MB
  41. 05.Working With Deep Reinforcement Learning/0506.Building the Model.mp45.73MB
  42. 05.Working With Deep Reinforcement Learning/0507.Compiling the Model.mp41.53MB
  43. 05.Working With Deep Reinforcement Learning/0508.Training the Model.mp46.19MB
  44. 05.Working With Deep Reinforcement Learning/0509.Game Playing with the Trained Model.mp457.8MB
  45. 05.Working With Deep Reinforcement Learning/0510.Real World Problems Solved with Reinforcement Learning.mp434.82MB
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