Modern Artificial Intelligence Masterclass Build 6 Projects

磁力链接/BT种子名称

Modern Artificial Intelligence Masterclass Build 6 Projects

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种子哈希：b58642ebb82d2f21d3526bc5cf6636130f6937fc
文件大小： 8.45G
已经下载：2192次
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收录时间：2021-04-29
最近下载：2025-08-14

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文件列表

  • 3. Emotion AI/7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.mp4 230.1 MB
  • 6. AI In Business (Finance) & AutoML/7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.mp4 223.0 MB
  • 6. AI In Business (Finance) & AutoML/8. Task #6 - Understand XG-Boost Algorithm Key Steps.mp4 215.5 MB
  • 4. AI in Healthcare/7. Task #6 - Train a Classifier Model To Detect Brain Tumors.mp4 211.1 MB
  • 6. AI In Business (Finance) & AutoML/5. Task #3 - Visualize and Explore Dataset.mp4 209.4 MB
  • 7. Creative AI/6. Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.mp4 204.5 MB
  • 5. AI in Business (Marketing)/5. Task #4 - Perform Exploratory Data Analysis (Part #2).mp4 191.8 MB
  • 4. AI in Healthcare/2. Task #1 - Understand the Problem Statement and Business Case.mp4 184.5 MB
  • 1. Introduction/3. Course Outline and Key Learning Outcomes.mp4 183.3 MB
  • 5. AI in Business (Marketing)/6. Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.mp4 173.3 MB
  • 4. AI in Healthcare/4. Task #3 - Visualize and Explore Datasets.mp4 172.9 MB
  • 3. Emotion AI/8. Task #7 - Understand ANNs Training & Gradient Descent Algorithm.mp4 168.3 MB
  • 4. AI in Healthcare/9. Task #8 - Understand ResUnet Segmentation Models Intuition.mp4 157.8 MB
  • 5. AI in Business (Marketing)/8. Task #7 - Apply K-Means Clustering Algorithm.mp4 152.5 MB
  • 3. Emotion AI/5. Task #4 - Perform Images Augmentation.mp4 148.7 MB
  • 6. AI In Business (Finance) & AutoML/12. Task #10 - Train XG-Boost in AWS SageMaker.mp4 147.2 MB
  • 3. Emotion AI/16. Task #15 - Build & Train a Facial Expression Classifier Model.mp4 145.0 MB
  • 7. Creative AI/2. Task #1 - Understand the Problem Statement & Business Case.mp4 143.5 MB
  • 4. AI in Healthcare/10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.mp4 143.4 MB
  • 5. AI in Business (Marketing)/11. Task #10 - Apply Auto-encoders and Perform Clustering.mp4 141.9 MB
  • 3. Emotion AI/17. Task #16 - Understand Classifiers Key Performance Indicators (KPIs).mp4 141.8 MB
  • 5. AI in Business (Marketing)/4. Task #3 - Perform Exploratory Data Analysis (Part #1).mp4 139.5 MB
  • 3. Emotion AI/10. Task #9 - Build ResNet to Detect Key Facial Points.mp4 138.3 MB
  • 4. AI in Healthcare/12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.mp4 134.9 MB
  • 3. Emotion AI/9. Task #8 - Understand Convolutional Neural Networks and ResNets.mp4 133.2 MB
  • 6. AI In Business (Finance) & AutoML/14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).mp4 128.8 MB
  • 4. AI in Healthcare/5. Task #4 - Understand the Intuition behind ResNet and CNNs.mp4 128.2 MB
  • 7. Creative AI/9. Task #8 - Implement Deep Dream Algorithm Part #2.mp4 126.6 MB
  • 4. AI in Healthcare/6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.mp4 126.5 MB
  • 3. Emotion AI/2. Task #1 - Understand the Problem Statement & Business Case.mp4 124.7 MB
  • 9. Crash Course on AWS, S3, and SageMaker/4. Amazon S3.mp4 116.8 MB
  • 9. Crash Course on AWS, S3, and SageMaker/11. AWS SageMaker Model Deployment.mp4 116.2 MB
  • 3. Emotion AI/15. Task #14 - Perform Image Augmentation.mp4 114.7 MB
  • 1. Introduction/2. Introduction, Key Tips and Best Practices.mp4 113.8 MB
  • 9. Crash Course on AWS, S3, and SageMaker/5. EC2 and Identity and Access Management (IAM).mp4 113.5 MB
  • 6. AI In Business (Finance) & AutoML/13. Task #11 - Deploy Model and Make Inference.mp4 113.1 MB
  • 4. AI in Healthcare/3. Task #2 - Import Libraries and Datasets.mp4 112.3 MB
  • 5. AI in Business (Marketing)/3. Task #2 - Import Libraries and Datasets.mp4 111.7 MB
  • 6. AI In Business (Finance) & AutoML/3. Task #1 - Understand the Problem Statement & Business Case.mp4 110.6 MB
  • 3. Emotion AI/18. Task #17 - Assess Facial Expression Classifier Model.mp4 109.6 MB
  • 3. Emotion AI/3. Task #2 - Import Libraries and Datasets.mp4 107.2 MB
  • 3. Emotion AI/20. Task #19 - Save Trained Model for Deployment.mp4 106.8 MB
  • 5. AI in Business (Marketing)/9. Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).mp4 105.9 MB
  • 3. Emotion AI/13. Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.mp4 99.4 MB
  • 3. Emotion AI/22. Task #21 - Deploy Both Models and Make Inference.mp4 92.8 MB
  • 3. Emotion AI/4. Task #3 - Perform Image Visualizations.mp4 91.6 MB
  • 7. Creative AI/5. Task #4 - Run the Pre-trained Model and Explore Activations.mp4 89.2 MB
  • 7. Creative AI/8. Task #7 - Implement Deep Dream Algorithm Part #1.mp4 87.1 MB
  • 5. AI in Business (Marketing)/10. Task #9 - Understand the Theory and Intuition Behind Auto-encoders.mp4 87.1 MB
  • 9. Crash Course on AWS, S3, and SageMaker/8. AWS SageMaker Walk-through.mp4 85.6 MB
  • 4. AI in Healthcare/8. Task #7 - Assess Trained Classifier Model Performance.mp4 83.0 MB
  • 7. Creative AI/11. Task #10 - Generate DeepDream Video.mp4 81.6 MB
  • 6. AI In Business (Finance) & AutoML/11. Task #9 - Understand XG-Boost in AWS SageMaker.mp4 81.5 MB
  • 5. AI in Business (Marketing)/2. Task #1 - Understand AI Applications in Marketing.mp4 77.3 MB
  • 5. AI in Business (Marketing)/7. Apply Elbow Method to Find the Optimal Number of Clusters.mp4 76.2 MB
  • 6. AI In Business (Finance) & AutoML/9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.mp4 74.9 MB
  • 1. Introduction/1. Introduction and Welcome Message.mp4 72.5 MB
  • 3. Emotion AI/11. Task #10 - Compile and Train Facial Key Points Detector Model.mp4 71.4 MB
  • 9. Crash Course on AWS, S3, and SageMaker/1. What is AWS and Cloud Computing.mp4 71.4 MB
  • 7. Creative AI/4. Task #3 - Import and Merge Images.mp4 71.3 MB
  • 9. Crash Course on AWS, S3, and SageMaker/9. AWS SageMaker Studio Overview.mp4 70.2 MB
  • 7. Creative AI/10. Task #9 - Apply DeepDream Algorithm to Generate Images.mp4 70.1 MB
  • 6. AI In Business (Finance) & AutoML/10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.mp4 68.9 MB
  • 9. Crash Course on AWS, S3, and SageMaker/7. AWS SageMaker Overview.mp4 67.8 MB
  • 3. Emotion AI/1. Project Introduction and Welcome Message.mp4 64.4 MB
  • 9. Crash Course on AWS, S3, and SageMaker/2. Key Machine Learning Components and AWS Tour.mp4 63.7 MB
  • 3. Emotion AI/19. Task #18 - Make Predictions from Both Models 1. Key Facial Points & 2. Emotion.mp4 63.0 MB
  • 3. Emotion AI/6. Task #5 - Perform Data Normalization and Scaling.mp4 62.2 MB
  • 4. AI in Healthcare/1. Project Introduction and Welcome Message.mp4 60.8 MB
  • 6. AI In Business (Finance) & AutoML/1. Project Introduction and Welcome Message.mp4 59.8 MB
  • 3. Emotion AI/14. Task #13 - Visualize Images for Facial Expression Detection.mp4 58.7 MB
  • 6. AI In Business (Finance) & AutoML/6. Task #4 - Clean Up the Data.mp4 58.3 MB
  • 7. Creative AI/3. Task #2 - Import Model with Pre-trained Weights.mp4 56.5 MB
  • 9. Crash Course on AWS, S3, and SageMaker/3. Regions and Availability Zones.mp4 55.5 MB
  • 6. AI In Business (Finance) & AutoML/4. Task #2 - Import Libraries and Datasets.mp4 54.4 MB
  • 9. Crash Course on AWS, S3, and SageMaker/10. AWS SageMaker Studio Walk-through.mp4 54.0 MB
  • 5. AI in Business (Marketing)/1. Project Introduction and Welcome Message.mp4 49.1 MB
  • 3. Emotion AI/12. Task #11 - Assess Trained ResNet Model Performance.mp4 45.0 MB
  • 3. Emotion AI/21. Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.mp4 43.2 MB
  • 8. Explainable AI/1. Project Introduction and Welcome Message.mp4 41.5 MB
  • 4. AI in Healthcare/11. Task #10 - Train ResUnet Segmentation Model.mp4 40.1 MB
  • 9. Crash Course on AWS, S3, and SageMaker/6. AWS Free Tier Account Setup and Overview.mp4 40.0 MB
  • 7. Creative AI/7. Task #6 - Understand The Gradient Operations in TF 2.0.mp4 39.3 MB
  • 7. Creative AI/1. Project Introduction and Welcome Message.mp4 38.9 MB
  • 6. AI In Business (Finance) & AutoML/1.3 AI in Finance.pdf 6.5 MB
  • 7. Creative AI/1.2 Creative AI.pdf 5.1 MB
  • 4. AI in Healthcare/1.2 Healthcare AI Slides.pdf 4.6 MB
  • 3. Emotion AI/1.1 Emotion AI Slides.pdf 3.2 MB
  • 6. AI In Business (Finance) & AutoML/1.2 UCI_Credit_Card.csv 2.9 MB
  • 5. AI in Business (Marketing)/1.3 AI in Marketing Slides.pdf 1.6 MB
  • 6. AI In Business (Finance) & AutoML/1.4 AI in Finance - SageMaker AutoPilot.pdf 1.1 MB
  • 4. AI in Healthcare/7. Task #6 - Train a Classifier Model To Detect Brain Tumors.srt 34.2 kB
  • 4. AI in Healthcare/4. Task #3 - Visualize and Explore Datasets.srt 33.4 kB
  • 6. AI In Business (Finance) & AutoML/7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.srt 33.3 kB
  • 6. AI In Business (Finance) & AutoML/8. Task #6 - Understand XG-Boost Algorithm Key Steps.srt 32.8 kB
  • 6. AI In Business (Finance) & AutoML/5. Task #3 - Visualize and Explore Dataset.srt 32.0 kB
  • 3. Emotion AI/7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.srt 31.9 kB
  • 7. Creative AI/6. Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.srt 31.4 kB
  • 5. AI in Business (Marketing)/5. Task #4 - Perform Exploratory Data Analysis (Part #2).srt 30.8 kB
  • 5. AI in Business (Marketing)/6. Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.srt 27.9 kB
  • 3. Emotion AI/8. Task #7 - Understand ANNs Training & Gradient Descent Algorithm.srt 27.7 kB
  • 3. Emotion AI/5. Task #4 - Perform Images Augmentation.srt 27.6 kB
  • 5. AI in Business (Marketing)/4. Task #3 - Perform Exploratory Data Analysis (Part #1).srt 26.2 kB
  • 5. AI in Business (Marketing)/8. Task #7 - Apply K-Means Clustering Algorithm.srt 25.0 kB
  • 1. Introduction/3. Course Outline and Key Learning Outcomes.srt 24.9 kB
  • 4. AI in Healthcare/2. Task #1 - Understand the Problem Statement and Business Case.srt 24.6 kB
  • 6. AI In Business (Finance) & AutoML/12. Task #10 - Train XG-Boost in AWS SageMaker.srt 23.6 kB
  • 3. Emotion AI/16. Task #15 - Build & Train a Facial Expression Classifier Model.srt 23.2 kB
  • 6. AI In Business (Finance) & AutoML/14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).srt 22.6 kB
  • 4. AI in Healthcare/10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.srt 22.1 kB
  • 3. Emotion AI/17. Task #16 - Understand Classifiers Key Performance Indicators (KPIs).srt 21.9 kB
  • 5. AI in Business (Marketing)/3. Task #2 - Import Libraries and Datasets.srt 21.8 kB
  • 3. Emotion AI/18. Task #17 - Assess Facial Expression Classifier Model.srt 21.6 kB
  • 9. Crash Course on AWS, S3, and SageMaker/4. Amazon S3.srt 21.5 kB
  • 4. AI in Healthcare/9. Task #8 - Understand ResUnet Segmentation Models Intuition.srt 21.3 kB
  • 3. Emotion AI/15. Task #14 - Perform Image Augmentation.srt 20.5 kB
  • 3. Emotion AI/10. Task #9 - Build ResNet to Detect Key Facial Points.srt 20.1 kB
  • 5. AI in Business (Marketing)/11. Task #10 - Apply Auto-encoders and Perform Clustering.srt 19.7 kB
  • 3. Emotion AI/9. Task #8 - Understand Convolutional Neural Networks and ResNets.srt 19.6 kB
  • 3. Emotion AI/3. Task #2 - Import Libraries and Datasets.srt 19.3 kB
  • 4. AI in Healthcare/12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.srt 19.2 kB
  • 9. Crash Course on AWS, S3, and SageMaker/5. EC2 and Identity and Access Management (IAM).srt 19.1 kB
  • 4. AI in Healthcare/6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.srt 18.4 kB
  • 7. Creative AI/9. Task #8 - Implement Deep Dream Algorithm Part #2.srt 18.1 kB
  • 3. Emotion AI/13. Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.srt 18.1 kB
  • 4. AI in Healthcare/3. Task #2 - Import Libraries and Datasets.srt 17.5 kB
  • 6. AI In Business (Finance) & AutoML/3. Task #1 - Understand the Problem Statement & Business Case.srt 17.2 kB
  • 4. AI in Healthcare/5. Task #4 - Understand the Intuition behind ResNet and CNNs.srt 17.0 kB
  • 9. Crash Course on AWS, S3, and SageMaker/8. AWS SageMaker Walk-through.srt 16.6 kB
  • 3. Emotion AI/2. Task #1 - Understand the Problem Statement & Business Case.srt 16.3 kB
  • 5. AI in Business (Marketing)/9. Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).srt 16.0 kB
  • 7. Creative AI/5. Task #4 - Run the Pre-trained Model and Explore Activations.srt 15.7 kB
  • 6. AI In Business (Finance) & AutoML/13. Task #11 - Deploy Model and Make Inference.srt 15.7 kB
  • 9. Crash Course on AWS, S3, and SageMaker/11. AWS SageMaker Model Deployment.srt 15.5 kB
  • 7. Creative AI/8. Task #7 - Implement Deep Dream Algorithm Part #1.srt 15.4 kB
  • 1. Introduction/2. Introduction, Key Tips and Best Practices.srt 15.4 kB
  • 3. Emotion AI/4. Task #3 - Perform Image Visualizations.srt 15.2 kB
  • 3. Emotion AI/20. Task #19 - Save Trained Model for Deployment.srt 15.0 kB
  • 7. Creative AI/4. Task #3 - Import and Merge Images.srt 14.7 kB
  • 4. AI in Healthcare/8. Task #7 - Assess Trained Classifier Model Performance.srt 14.1 kB
  • 7. Creative AI/2. Task #1 - Understand the Problem Statement & Business Case.srt 14.0 kB
  • 9. Crash Course on AWS, S3, and SageMaker/2. Key Machine Learning Components and AWS Tour.srt 14.0 kB
  • 9. Crash Course on AWS, S3, and SageMaker/7. AWS SageMaker Overview.srt 13.7 kB
  • 5. AI in Business (Marketing)/7. Apply Elbow Method to Find the Optimal Number of Clusters.srt 13.2 kB
  • 9. Crash Course on AWS, S3, and SageMaker/9. AWS SageMaker Studio Overview.srt 12.9 kB
  • 5. AI in Business (Marketing)/10. Task #9 - Understand the Theory and Intuition Behind Auto-encoders.srt 12.8 kB
  • 6. AI In Business (Finance) & AutoML/9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.srt 12.5 kB
  • 3. Emotion AI/22. Task #21 - Deploy Both Models and Make Inference.srt 12.3 kB
  • 9. Crash Course on AWS, S3, and SageMaker/1. What is AWS and Cloud Computing.srt 12.1 kB
  • 3. Emotion AI/6. Task #5 - Perform Data Normalization and Scaling.srt 12.0 kB
  • 3. Emotion AI/11. Task #10 - Compile and Train Facial Key Points Detector Model.srt 11.8 kB
  • 7. Creative AI/3. Task #2 - Import Model with Pre-trained Weights.srt 11.7 kB
  • 3. Emotion AI/19. Task #18 - Make Predictions from Both Models 1. Key Facial Points & 2. Emotion.srt 11.6 kB
  • 3. Emotion AI/14. Task #13 - Visualize Images for Facial Expression Detection.srt 11.5 kB
  • 7. Creative AI/10. Task #9 - Apply DeepDream Algorithm to Generate Images.srt 11.4 kB
  • 6. AI In Business (Finance) & AutoML/11. Task #9 - Understand XG-Boost in AWS SageMaker.srt 11.3 kB
  • 7. Creative AI/11. Task #10 - Generate DeepDream Video.srt 11.1 kB
  • 9. Crash Course on AWS, S3, and SageMaker/10. AWS SageMaker Studio Walk-through.srt 11.0 kB
  • 6. AI In Business (Finance) & AutoML/10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.srt 10.8 kB
  • 5. AI in Business (Marketing)/2. Task #1 - Understand AI Applications in Marketing.srt 10.3 kB
  • 6. AI In Business (Finance) & AutoML/6. Task #4 - Clean Up the Data.srt 9.3 kB
  • 9. Crash Course on AWS, S3, and SageMaker/3. Regions and Availability Zones.srt 9.0 kB
  • 7. Creative AI/7. Task #6 - Understand The Gradient Operations in TF 2.0.srt 8.9 kB
  • 9. Crash Course on AWS, S3, and SageMaker/6. AWS Free Tier Account Setup and Overview.srt 8.8 kB
  • 6. AI In Business (Finance) & AutoML/4. Task #2 - Import Libraries and Datasets.srt 7.7 kB
  • 3. Emotion AI/12. Task #11 - Assess Trained ResNet Model Performance.srt 7.5 kB
  • 3. Emotion AI/21. Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.srt 7.2 kB
  • 4. AI in Healthcare/11. Task #10 - Train ResUnet Segmentation Model.srt 6.1 kB
  • 1. Introduction/1. Introduction and Welcome Message.srt 4.8 kB
  • 3. Emotion AI/1. Project Introduction and Welcome Message.srt 3.6 kB
  • 4. AI in Healthcare/1. Project Introduction and Welcome Message.srt 3.3 kB
  • 6. AI In Business (Finance) & AutoML/1. Project Introduction and Welcome Message.srt 3.1 kB
  • 5. AI in Business (Marketing)/1. Project Introduction and Welcome Message.srt 2.7 kB
  • 8. Explainable AI/1. Project Introduction and Welcome Message.srt 2.4 kB
  • 7. Creative AI/1. Project Introduction and Welcome Message.srt 2.0 kB
  • 2. Bonus Materials (Download now!)/1. Link to Bonus Materials.html 1.7 kB
  • 6. AI In Business (Finance) & AutoML/2. Notes on Amazon Web Services (AWS).html 787 Bytes
  • [TGx]Downloaded from torrentgalaxy.to.txt 585 Bytes
  • 1. Introduction/4. Get the Materials.html 384 Bytes
  • Download More Courses.html 225 Bytes
  • Important !! Course Resources Files.html 225 Bytes
  • 4. AI in Healthcare/1.1 AI in Healthcare Google Colab.html 146 Bytes
  • 6. AI In Business (Finance) & AutoML/1.1 AI In Business (Finance) & AutoML Google Colab.html 146 Bytes
  • 7. Creative AI/1.3 Creative AI Google Colab.html 146 Bytes
  • 3. Emotion AI/1.2 Emotion AI Google Colab Notebook.html 146 Bytes
  • 5. AI in Business (Marketing)/1.1 AI in Business (Marketing) Google Colab.html 146 Bytes
  • 8. Explainable AI/2. Introduction and Welcome Message.html 65 Bytes

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