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[Udemy] Мастер-класс по современному ИИ 6 Проектов (2020) [En]

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视频 2023-1-22 08:06 2024-6-4 17:52 137 12.38 GB 84
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Udemy Мастер-класс по современному ИИ 6 Проектов 2020 En

文件列表
  1. 01 Introduction/001 Introduction and Welcome Message.mp4146.56MB
  2. 01 Introduction/002 Introduction, Key Tips and Best Practices.mp4186.36MB
  3. 01 Introduction/003 Course Outline and Key Learning Outcomes.mp4290.95MB
  4. 03 Emotion AI/006 Project Introduction and Welcome Message.mp4126.21MB
  5. 03 Emotion AI/007 Task #1 - Understand the Problem Statement & Business Case.mp4182.7MB
  6. 03 Emotion AI/008 Task #2 - Import Libraries and Datasets.mp4132.29MB
  7. 03 Emotion AI/009 Task #3 - Perform Image Visualizations.mp4152.67MB
  8. 03 Emotion AI/010 Task #4 - Perform Images Augmentation.mp4221.31MB
  9. 03 Emotion AI/011 Task #5 - Perform Data Normalization and Scaling.mp4100.7MB
  10. 03 Emotion AI/012 Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.mp4390.98MB
  11. 03 Emotion AI/013 Task #7 - Understand ANNs Training & Gradient Descent Algorithm.mp4211.33MB
  12. 03 Emotion AI/014 Task #8 - Understand Convolutional Neural Networks and ResNets.mp4196.35MB
  13. 03 Emotion AI/015 Task #9 - Build ResNet to Detect Key Facial Points.mp4158.18MB
  14. 03 Emotion AI/016 Task #10 - Compile and Train Facial Key Points Detector Model.mp485.98MB
  15. 03 Emotion AI/017 Task #11 - Assess Trained ResNet Model Performance.mp473.2MB
  16. 03 Emotion AI/018 Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.mp4145.17MB
  17. 03 Emotion AI/019 Task #13 - Visualize Images for Facial Expression Detection.mp468.52MB
  18. 03 Emotion AI/020 Task #14 - Perform Image Augmentation.mp489.36MB
  19. 03 Emotion AI/021 Task #15 - Build & Train a Facial Expression Classifier Model.mp4171.99MB
  20. 03 Emotion AI/022 Task #16 - Understand Classifiers Key Performance Indicators (KPIs).mp4203.88MB
  21. 03 Emotion AI/023 Task #17 - Assess Facial Expression Classifier Model.mp4157.61MB
  22. 03 Emotion AI/024 Task #18 - Make Predictions from Both Models_ 1. Key Facial Points & 2. Emotion.mp476.44MB
  23. 03 Emotion AI/025 Task #19 - Save Trained Model for Deployment.mp4125MB
  24. 03 Emotion AI/026 Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.mp449.06MB
  25. 03 Emotion AI/027 Task #21 - Deploy Both Models and Make Inference.mp4134.06MB
  26. 04 AI in Healthcare/028 Project Introduction and Welcome Message.mp4120.31MB
  27. 04 AI in Healthcare/029 Task #1 - Understand the Problem Statement and Business Case.mp4311.28MB
  28. 04 AI in Healthcare/030 Task #2 - Import Libraries and Datasets.mp4186.81MB
  29. 04 AI in Healthcare/031 Task #3 - Visualize and Explore Datasets.mp4209.72MB
  30. 04 AI in Healthcare/032 Task #4 - Understand the Intuition behind ResNet and CNNs.mp4184.63MB
  31. 04 AI in Healthcare/033 Task #5 - Understand Theory and Intuition Behind Transfer Learning.mp4185.95MB
  32. 04 AI in Healthcare/034 Task #6 - Train a Classifier Model To Detect Brain Tumors.mp4352.13MB
  33. 04 AI in Healthcare/035 Task #7 - Assess Trained Classifier Model Performance.mp497.46MB
  34. 04 AI in Healthcare/036 Task #8 - Understand ResUnet Segmentation Models Intuition.mp4223.89MB
  35. 04 AI in Healthcare/037 Task #9 - Build a Segmentation Model to Localize Brain Tumors.mp4168.5MB
  36. 04 AI in Healthcare/038 Task #10 - Train ResUnet Segmentation Model.mp448.06MB
  37. 04 AI in Healthcare/039 Task #11 - Assess Trained ResUNet Segmentation Model Performance.mp4196.6MB
  38. 05 AI in Business (Marketing)/040 Project Introduction and Welcome Message.mp496.72MB
  39. 05 AI in Business (Marketing)/041 Task #1 - Understand AI Applications in Marketing.mp4113.54MB
  40. 05 AI in Business (Marketing)/042 Task #2 - Import Libraries and Datasets.mp4139.59MB
  41. 05 AI in Business (Marketing)/043 Task #3 - Perform Exploratory Data Analysis (Part #1).mp4166.08MB
  42. 05 AI in Business (Marketing)/044 Task #4 - Perform Exploratory Data Analysis (Part #2).mp4315.8MB
  43. 05 AI in Business (Marketing)/045 Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.mp4209.93MB
  44. 05 AI in Business (Marketing)/046 Apply Elbow Method to Find the Optimal Number of Clusters.mp4125.6MB
  45. 05 AI in Business (Marketing)/047 Task #7 - Apply K-Means Clustering Algorithm.mp4221.21MB
  46. 05 AI in Business (Marketing)/048 Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).mp4177.12MB
  47. 05 AI in Business (Marketing)/049 Task #9 - Understand the Theory and Intuition Behind Auto-encoders.mp4109.06MB
  48. 05 AI in Business (Marketing)/050 Task #10 - Apply Auto-encoders and Perform Clustering.mp4206.21MB
  49. 06 AI In Business (Finance) & AutoML/051 Project Introduction and Welcome Message.mp4118.38MB
  50. 06 AI In Business (Finance) & AutoML/053 Task #1 - Understand the Problem Statement & Business Case.mp4187.59MB
  51. 06 AI In Business (Finance) & AutoML/054 Task #2 - Import Libraries and Datasets.mp463.15MB
  52. 06 AI In Business (Finance) & AutoML/055 Task #3 - Visualize and Explore Dataset.mp4345.62MB
  53. 06 AI In Business (Finance) & AutoML/056 Task #4 - Clean Up the Data.mp439.26MB
  54. 06 AI In Business (Finance) & AutoML/057 Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.mp4270.97MB
  55. 06 AI In Business (Finance) & AutoML/058 Task #6 - Understand XG-Boost Algorithm Key Steps.mp4258.03MB
  56. 06 AI In Business (Finance) & AutoML/059 Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.mp4124.98MB
  57. 06 AI In Business (Finance) & AutoML/060 Task #8 - Perform Grid Search and Hyper-parameters Optimization.mp483.73MB
  58. 06 AI In Business (Finance) & AutoML/061 Task #9 - Understand XG-Boost in AWS SageMaker.mp4134.06MB
  59. 06 AI In Business (Finance) & AutoML/062 Task #10 - Train XG-Boost in AWS SageMaker.mp4190.34MB
  60. 06 AI In Business (Finance) & AutoML/063 Task #11 - Deploy Model and Make Inference.mp4166.39MB
  61. 06 AI In Business (Finance) & AutoML/064 Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).mp4213.75MB
  62. 07 Creative AI/065 Project Introduction and Welcome Message.mp476.72MB
  63. 07 Creative AI/066 Task #1 - Understand the Problem Statement & Business Case.mp4257.67MB
  64. 07 Creative AI/067 Task #2 - Import Model with Pre-trained Weights.mp473.45MB
  65. 07 Creative AI/068 Task #3 - Import and Merge Images.mp493.82MB
  66. 07 Creative AI/069 Task #4 - Run the Pre-trained Model and Explore Activations.mp4104.96MB
  67. 07 Creative AI/070 Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.mp4343.4MB
  68. 07 Creative AI/071 Task #6 - Understand The Gradient Operations in TF 2.0.mp433.92MB
  69. 07 Creative AI/072 Task #7 - Implement Deep Dream Algorithm Part #1.mp4127.31MB
  70. 07 Creative AI/073 Task #8 - Implement Deep Dream Algorithm Part #2.mp4222.01MB
  71. 07 Creative AI/074 Task #9 - Apply DeepDream Algorithm to Generate Images.mp4103.89MB
  72. 07 Creative AI/075 Task #10 - Generate DeepDream Video.mp4122.43MB
  73. 08 Explainable AI/076 Project Introduction and Welcome Message.mp482MB
  74. 09 Crash Course on AWS, S3, and SageMaker/078 What is AWS and Cloud Computing_.mp453.31MB
  75. 09 Crash Course on AWS, S3, and SageMaker/079 Key Machine Learning Components and AWS Tour.mp442.05MB
  76. 09 Crash Course on AWS, S3, and SageMaker/080 Regions and Availability Zones.mp457.75MB
  77. 09 Crash Course on AWS, S3, and SageMaker/081 Amazon S3.mp488.85MB
  78. 09 Crash Course on AWS, S3, and SageMaker/082 EC2 and Identity and Access Management (IAM).mp482.76MB
  79. 09 Crash Course on AWS, S3, and SageMaker/083 AWS Free Tier Account Setup and Overview.mp433.01MB
  80. 09 Crash Course on AWS, S3, and SageMaker/084 AWS SageMaker Overview.mp446.27MB
  81. 09 Crash Course on AWS, S3, and SageMaker/085 AWS SageMaker Walk-through.mp4128.52MB
  82. 09 Crash Course on AWS, S3, and SageMaker/086 AWS SageMaker Studio Overview.mp447.64MB
  83. 09 Crash Course on AWS, S3, and SageMaker/087 AWS SageMaker Studio Walk-through.mp477.82MB
  84. 09 Crash Course on AWS, S3, and SageMaker/088 AWS SageMaker Model Deployment.mp4133.98MB
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