Modern Artificial Intelligence Masterclass Build 6 Projects
- 收录时间:2021-06-04 18:21:13
- 文件大小:8GB
- 下载次数:1
- 最近下载:2021-06-04 18:21:13
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文件列表
- 3. Emotion AI/7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.mp4 219MB
- 6. AI In Business (Finance) & AutoML/7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.mp4 213MB
- 6. AI In Business (Finance) & AutoML/8. Task #6 - Understand XG-Boost Algorithm Key Steps.mp4 205MB
- 4. AI in Healthcare/7. Task #6 - Train a Classifier Model To Detect Brain Tumors.mp4 201MB
- 6. AI In Business (Finance) & AutoML/5. Task #3 - Visualize and Explore Dataset.mp4 200MB
- 7. Creative AI/6. Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.mp4 195MB
- 5. AI in Business (Marketing)/5. Task #4 - Perform Exploratory Data Analysis (Part #2).mp4 183MB
- 4. AI in Healthcare/2. Task #1 - Understand the Problem Statement and Business Case.mp4 176MB
- 1. Introduction/3. Course Outline and Key Learning Outcomes.mp4 175MB
- 5. AI in Business (Marketing)/6. Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.mp4 165MB
- 4. AI in Healthcare/4. Task #3 - Visualize and Explore Datasets.mp4 165MB
- 3. Emotion AI/8. Task #7 - Understand ANNs Training & Gradient Descent Algorithm.mp4 161MB
- 4. AI in Healthcare/9. Task #8 - Understand ResUnet Segmentation Models Intuition.mp4 151MB
- 5. AI in Business (Marketing)/8. Task #7 - Apply K-Means Clustering Algorithm.mp4 145MB
- 3. Emotion AI/5. Task #4 - Perform Images Augmentation.mp4 142MB
- 6. AI In Business (Finance) & AutoML/12. Task #10 - Train XG-Boost in AWS SageMaker.mp4 140MB
- 3. Emotion AI/16. Task #15 - Build & Train a Facial Expression Classifier Model.mp4 138MB
- 7. Creative AI/2. Task #1 - Understand the Problem Statement & Business Case.mp4 137MB
- 4. AI in Healthcare/10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.mp4 137MB
- 5. AI in Business (Marketing)/11. Task #10 - Apply Auto-encoders and Perform Clustering.mp4 135MB
- 3. Emotion AI/17. Task #16 - Understand Classifiers Key Performance Indicators (KPIs).mp4 135MB
- 5. AI in Business (Marketing)/4. Task #3 - Perform Exploratory Data Analysis (Part #1).mp4 133MB
- 3. Emotion AI/10. Task #9 - Build ResNet to Detect Key Facial Points.mp4 132MB
- 4. AI in Healthcare/12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.mp4 129MB
- 3. Emotion AI/9. Task #8 - Understand Convolutional Neural Networks and ResNets.mp4 127MB
- 6. AI In Business (Finance) & AutoML/14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).mp4 123MB
- 4. AI in Healthcare/5. Task #4 - Understand the Intuition behind ResNet and CNNs.mp4 122MB
- 7. Creative AI/9. Task #8 - Implement Deep Dream Algorithm Part #2.mp4 121MB
- 4. AI in Healthcare/6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.mp4 121MB
- 3. Emotion AI/2. Task #1 - Understand the Problem Statement & Business Case.mp4 119MB
- 9. Crash Course on AWS, S3, and SageMaker/4. Amazon S3.mp4 111MB
- 9. Crash Course on AWS, S3, and SageMaker/11. AWS SageMaker Model Deployment.mp4 111MB
- 3. Emotion AI/15. Task #14 - Perform Image Augmentation.mp4 109MB
- 1. Introduction/2. Introduction, Key Tips and Best Practices.mp4 108MB
- 9. Crash Course on AWS, S3, and SageMaker/5. EC2 and Identity and Access Management (IAM).mp4 108MB
- 6. AI In Business (Finance) & AutoML/13. Task #11 - Deploy Model and Make Inference.mp4 108MB
- 4. AI in Healthcare/3. Task #2 - Import Libraries and Datasets.mp4 107MB
- 5. AI in Business (Marketing)/3. Task #2 - Import Libraries and Datasets.mp4 107MB
- 6. AI In Business (Finance) & AutoML/3. Task #1 - Understand the Problem Statement & Business Case.mp4 105MB
- 3. Emotion AI/18. Task #17 - Assess Facial Expression Classifier Model.mp4 105MB
- 3. Emotion AI/3. Task #2 - Import Libraries and Datasets.mp4 102MB
- 3. Emotion AI/20. Task #19 - Save Trained Model for Deployment.mp4 102MB
- 5. AI in Business (Marketing)/9. Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).mp4 101MB
- 3. Emotion AI/13. Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.mp4 95MB
- 3. Emotion AI/22. Task #21 - Deploy Both Models and Make Inference.mp4 89MB
- 3. Emotion AI/4. Task #3 - Perform Image Visualizations.mp4 87MB
- 7. Creative AI/5. Task #4 - Run the Pre-trained Model and Explore Activations.mp4 85MB
- 7. Creative AI/8. Task #7 - Implement Deep Dream Algorithm Part #1.mp4 83MB
- 5. AI in Business (Marketing)/10. Task #9 - Understand the Theory and Intuition Behind Auto-encoders.mp4 83MB
- 9. Crash Course on AWS, S3, and SageMaker/8. AWS SageMaker Walk-through.mp4 82MB
- 4. AI in Healthcare/8. Task #7 - Assess Trained Classifier Model Performance.mp4 79MB
- 7. Creative AI/11. Task #10 - Generate DeepDream Video.mp4 78MB
- 6. AI In Business (Finance) & AutoML/11. Task #9 - Understand XG-Boost in AWS SageMaker.mp4 78MB
- 5. AI in Business (Marketing)/2. Task #1 - Understand AI Applications in Marketing.mp4 74MB
- 5. AI in Business (Marketing)/7. Apply Elbow Method to Find the Optimal Number of Clusters.mp4 73MB
- 6. AI In Business (Finance) & AutoML/9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.mp4 71MB
- 1. Introduction/1. Introduction and Welcome Message.mp4 69MB
- 3. Emotion AI/11. Task #10 - Compile and Train Facial Key Points Detector Model.mp4 68MB
- 9. Crash Course on AWS, S3, and SageMaker/1. What is AWS and Cloud Computing.mp4 68MB
- 7. Creative AI/4. Task #3 - Import and Merge Images.mp4 68MB
- 9. Crash Course on AWS, S3, and SageMaker/9. AWS SageMaker Studio Overview.mp4 67MB
- 7. Creative AI/10. Task #9 - Apply DeepDream Algorithm to Generate Images.mp4 67MB
- 6. AI In Business (Finance) & AutoML/10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.mp4 66MB
- 9. Crash Course on AWS, S3, and SageMaker/7. AWS SageMaker Overview.mp4 65MB
- 3. Emotion AI/1. Project Introduction and Welcome Message.mp4 61MB
- 9. Crash Course on AWS, S3, and SageMaker/2. Key Machine Learning Components and AWS Tour.mp4 61MB
- 3. Emotion AI/19. Task #18 - Make Predictions from Both Models 1. Key Facial Points & 2. Emotion.mp4 60MB
- 3. Emotion AI/6. Task #5 - Perform Data Normalization and Scaling.mp4 59MB
- 4. AI in Healthcare/1. Project Introduction and Welcome Message.mp4 58MB
- 6. AI In Business (Finance) & AutoML/1. Project Introduction and Welcome Message.mp4 57MB
- 3. Emotion AI/14. Task #13 - Visualize Images for Facial Expression Detection.mp4 56MB
- 6. AI In Business (Finance) & AutoML/6. Task #4 - Clean Up the Data.mp4 56MB
- 7. Creative AI/3. Task #2 - Import Model with Pre-trained Weights.mp4 54MB
- 9. Crash Course on AWS, S3, and SageMaker/3. Regions and Availability Zones.mp4 53MB
- 6. AI In Business (Finance) & AutoML/4. Task #2 - Import Libraries and Datasets.mp4 52MB
- 9. Crash Course on AWS, S3, and SageMaker/10. AWS SageMaker Studio Walk-through.mp4 52MB
- 5. AI in Business (Marketing)/1. Project Introduction and Welcome Message.mp4 47MB
- 3. Emotion AI/12. Task #11 - Assess Trained ResNet Model Performance.mp4 43MB
- 3. Emotion AI/21. Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.mp4 41MB
- 8. Explainable AI/1. Project Introduction and Welcome Message.mp4 40MB
- 4. AI in Healthcare/11. Task #10 - Train ResUnet Segmentation Model.mp4 38MB
- 9. Crash Course on AWS, S3, and SageMaker/6. AWS Free Tier Account Setup and Overview.mp4 38MB
- 7. Creative AI/7. Task #6 - Understand The Gradient Operations in TF 2.0.mp4 37MB
- 7. Creative AI/1. Project Introduction and Welcome Message.mp4 37MB
- 6. AI In Business (Finance) & AutoML/1.3 AI in Finance.pdf 6MB
- 7. Creative AI/1.2 Creative AI.pdf 5MB
- 4. AI in Healthcare/1.2 Healthcare AI Slides.pdf 4MB
- 3. Emotion AI/1.1 Emotion AI Slides.pdf 3MB
- 6. AI In Business (Finance) & AutoML/1.2 UCI_Credit_Card.csv 3MB
- 5. AI in Business (Marketing)/1.3 AI in Marketing Slides.pdf 2MB
- 6. AI In Business (Finance) & AutoML/1.4 AI in Finance - SageMaker AutoPilot.pdf 1MB
- 4. AI in Healthcare/7. Task #6 - Train a Classifier Model To Detect Brain Tumors.srt 33KB
- 4. AI in Healthcare/4. Task #3 - Visualize and Explore Datasets.srt 33KB
- 6. AI In Business (Finance) & AutoML/7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.srt 33KB
- 6. AI In Business (Finance) & AutoML/8. Task #6 - Understand XG-Boost Algorithm Key Steps.srt 32KB
- 6. AI In Business (Finance) & AutoML/5. Task #3 - Visualize and Explore Dataset.srt 31KB
- 3. Emotion AI/7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.srt 31KB
- 7. Creative AI/6. Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.srt 31KB
- 5. AI in Business (Marketing)/5. Task #4 - Perform Exploratory Data Analysis (Part #2).srt 30KB
- 5. AI in Business (Marketing)/6. Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.srt 27KB
- 3. Emotion AI/8. Task #7 - Understand ANNs Training & Gradient Descent Algorithm.srt 27KB
- 3. Emotion AI/5. Task #4 - Perform Images Augmentation.srt 27KB
- 5. AI in Business (Marketing)/4. Task #3 - Perform Exploratory Data Analysis (Part #1).srt 26KB
- 5. AI in Business (Marketing)/8. Task #7 - Apply K-Means Clustering Algorithm.srt 24KB
- 1. Introduction/3. Course Outline and Key Learning Outcomes.srt 24KB
- 4. AI in Healthcare/2. Task #1 - Understand the Problem Statement and Business Case.srt 24KB
- 6. AI In Business (Finance) & AutoML/12. Task #10 - Train XG-Boost in AWS SageMaker.srt 23KB
- 3. Emotion AI/16. Task #15 - Build & Train a Facial Expression Classifier Model.srt 23KB
- 6. AI In Business (Finance) & AutoML/14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).srt 22KB
- 4. AI in Healthcare/10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.srt 22KB
- 3. Emotion AI/17. Task #16 - Understand Classifiers Key Performance Indicators (KPIs).srt 21KB
- 5. AI in Business (Marketing)/3. Task #2 - Import Libraries and Datasets.srt 21KB
- 3. Emotion AI/18. Task #17 - Assess Facial Expression Classifier Model.srt 21KB
- 9. Crash Course on AWS, S3, and SageMaker/4. Amazon S3.srt 21KB
- 4. AI in Healthcare/9. Task #8 - Understand ResUnet Segmentation Models Intuition.srt 21KB
- 3. Emotion AI/15. Task #14 - Perform Image Augmentation.srt 20KB
- 3. Emotion AI/10. Task #9 - Build ResNet to Detect Key Facial Points.srt 20KB
- 5. AI in Business (Marketing)/11. Task #10 - Apply Auto-encoders and Perform Clustering.srt 19KB
- 3. Emotion AI/9. Task #8 - Understand Convolutional Neural Networks and ResNets.srt 19KB
- 3. Emotion AI/3. Task #2 - Import Libraries and Datasets.srt 19KB
- 4. AI in Healthcare/12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.srt 19KB
- 9. Crash Course on AWS, S3, and SageMaker/5. EC2 and Identity and Access Management (IAM).srt 19KB
- 4. AI in Healthcare/6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.srt 18KB
- 7. Creative AI/9. Task #8 - Implement Deep Dream Algorithm Part #2.srt 18KB
- 3. Emotion AI/13. Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.srt 18KB
- 4. AI in Healthcare/3. Task #2 - Import Libraries and Datasets.srt 17KB
- 6. AI In Business (Finance) & AutoML/3. Task #1 - Understand the Problem Statement & Business Case.srt 17KB
- 4. AI in Healthcare/5. Task #4 - Understand the Intuition behind ResNet and CNNs.srt 17KB
- 9. Crash Course on AWS, S3, and SageMaker/8. AWS SageMaker Walk-through.srt 16KB
- 3. Emotion AI/2. Task #1 - Understand the Problem Statement & Business Case.srt 16KB
- 5. AI in Business (Marketing)/9. Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).srt 16KB
- 7. Creative AI/5. Task #4 - Run the Pre-trained Model and Explore Activations.srt 15KB
- 6. AI In Business (Finance) & AutoML/13. Task #11 - Deploy Model and Make Inference.srt 15KB
- 9. Crash Course on AWS, S3, and SageMaker/11. AWS SageMaker Model Deployment.srt 15KB
- 7. Creative AI/8. Task #7 - Implement Deep Dream Algorithm Part #1.srt 15KB
- 1. Introduction/2. Introduction, Key Tips and Best Practices.srt 15KB
- 3. Emotion AI/4. Task #3 - Perform Image Visualizations.srt 15KB
- 3. Emotion AI/20. Task #19 - Save Trained Model for Deployment.srt 15KB
- 7. Creative AI/4. Task #3 - Import and Merge Images.srt 14KB
- 4. AI in Healthcare/8. Task #7 - Assess Trained Classifier Model Performance.srt 14KB
- 7. Creative AI/2. Task #1 - Understand the Problem Statement & Business Case.srt 14KB
- 9. Crash Course on AWS, S3, and SageMaker/2. Key Machine Learning Components and AWS Tour.srt 14KB
- 9. Crash Course on AWS, S3, and SageMaker/7. AWS SageMaker Overview.srt 13KB
- 5. AI in Business (Marketing)/7. Apply Elbow Method to Find the Optimal Number of Clusters.srt 13KB
- 9. Crash Course on AWS, S3, and SageMaker/9. AWS SageMaker Studio Overview.srt 13KB
- 5. AI in Business (Marketing)/10. Task #9 - Understand the Theory and Intuition Behind Auto-encoders.srt 13KB
- 6. AI In Business (Finance) & AutoML/9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.srt 12KB
- 3. Emotion AI/22. Task #21 - Deploy Both Models and Make Inference.srt 12KB
- 9. Crash Course on AWS, S3, and SageMaker/1. What is AWS and Cloud Computing.srt 12KB
- 3. Emotion AI/6. Task #5 - Perform Data Normalization and Scaling.srt 12KB
- 3. Emotion AI/11. Task #10 - Compile and Train Facial Key Points Detector Model.srt 11KB
- 7. Creative AI/3. Task #2 - Import Model with Pre-trained Weights.srt 11KB
- 3. Emotion AI/19. Task #18 - Make Predictions from Both Models 1. Key Facial Points & 2. Emotion.srt 11KB
- 3. Emotion AI/14. Task #13 - Visualize Images for Facial Expression Detection.srt 11KB
- 7. Creative AI/10. Task #9 - Apply DeepDream Algorithm to Generate Images.srt 11KB
- 6. AI In Business (Finance) & AutoML/11. Task #9 - Understand XG-Boost in AWS SageMaker.srt 11KB
- 7. Creative AI/11. Task #10 - Generate DeepDream Video.srt 11KB
- 9. Crash Course on AWS, S3, and SageMaker/10. AWS SageMaker Studio Walk-through.srt 11KB
- 6. AI In Business (Finance) & AutoML/10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.srt 11KB
- 5. AI in Business (Marketing)/2. Task #1 - Understand AI Applications in Marketing.srt 10KB
- 6. AI In Business (Finance) & AutoML/6. Task #4 - Clean Up the Data.srt 9KB
- 9. Crash Course on AWS, S3, and SageMaker/3. Regions and Availability Zones.srt 9KB
- 7. Creative AI/7. Task #6 - Understand The Gradient Operations in TF 2.0.srt 9KB
- 9. Crash Course on AWS, S3, and SageMaker/6. AWS Free Tier Account Setup and Overview.srt 9KB
- 6. AI In Business (Finance) & AutoML/4. Task #2 - Import Libraries and Datasets.srt 7KB
- 3. Emotion AI/12. Task #11 - Assess Trained ResNet Model Performance.srt 7KB
- 3. Emotion AI/21. Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.srt 7KB
- 4. AI in Healthcare/11. Task #10 - Train ResUnet Segmentation Model.srt 6KB
- 1. Introduction/1. Introduction and Welcome Message.srt 5KB
- 3. Emotion AI/1. Project Introduction and Welcome Message.srt 4KB
- 4. AI in Healthcare/1. Project Introduction and Welcome Message.srt 3KB
- 6. AI In Business (Finance) & AutoML/1. Project Introduction and Welcome Message.srt 3KB
- 5. AI in Business (Marketing)/1. Project Introduction and Welcome Message.srt 3KB
- 8. Explainable AI/1. Project Introduction and Welcome Message.srt 2KB
- 7. Creative AI/1. Project Introduction and Welcome Message.srt 2KB
- 2. Bonus Materials (Download now!)/1. Link to Bonus Materials.html 2KB
- 6. AI In Business (Finance) & AutoML/2. Notes on Amazon Web Services (AWS).html 787B
- [TGx]Downloaded from torrentgalaxy.to.txt 585B
- 1. Introduction/4. Get the Materials.html 384B
- Download More Courses.html 225B
- Important !! Course Resources Files.html 225B
- 4. AI in Healthcare/1.1 AI in Healthcare Google Colab.html 146B
- 6. AI In Business (Finance) & AutoML/1.1 AI In Business (Finance) & AutoML Google Colab.html 146B
- 7. Creative AI/1.3 Creative AI Google Colab.html 146B
- 3. Emotion AI/1.2 Emotion AI Google Colab Notebook.html 146B
- 5. AI in Business (Marketing)/1.1 AI in Business (Marketing) Google Colab.html 146B
- 8. Explainable AI/2. Introduction and Welcome Message.html 65B