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| [TGx]Downloaded from torrentgalaxy.to.txt |
585б |
| 1.1 AI In Business (Finance) & AutoML Google Colab.html |
146б |
| 1.1 AI in Business (Marketing) Google Colab.html |
146б |
| 1.1 AI in Healthcare Google Colab.html |
146б |
| 1.1 Emotion AI Slides.pdf |
3.07Мб |
| 1.2 Creative AI.pdf |
4.83Мб |
| 1.2 Emotion AI Google Colab Notebook.html |
146б |
| 1.2 Healthcare AI Slides.pdf |
4.34Мб |
| 1.2 UCI_Credit_Card.csv |
2.73Мб |
| 1.3 AI in Finance.pdf |
6.20Мб |
| 1.3 AI in Marketing Slides.pdf |
1.57Мб |
| 1.3 Creative AI Google Colab.html |
146б |
| 1.4 AI in Finance - SageMaker AutoPilot.pdf |
1.03Мб |
| 1. Introduction and Welcome Message.mp4 |
69.17Мб |
| 1. Introduction and Welcome Message.srt |
4.68Кб |
| 1. Link to Bonus Materials.html |
1.65Кб |
| 1. Project Introduction and Welcome Message.mp4 |
58.01Мб |
| 1. Project Introduction and Welcome Message.mp4 |
56.98Мб |
| 1. Project Introduction and Welcome Message.mp4 |
37.07Мб |
| 1. Project Introduction and Welcome Message.mp4 |
39.61Мб |
| 1. Project Introduction and Welcome Message.mp4 |
61.40Мб |
| 1. Project Introduction and Welcome Message.mp4 |
46.85Мб |
| 1. Project Introduction and Welcome Message.srt |
3.24Кб |
| 1. Project Introduction and Welcome Message.srt |
3.01Кб |
| 1. Project Introduction and Welcome Message.srt |
1.91Кб |
| 1. Project Introduction and Welcome Message.srt |
2.35Кб |
| 1. Project Introduction and Welcome Message.srt |
3.56Кб |
| 1. Project Introduction and Welcome Message.srt |
2.62Кб |
| 1. What is AWS and Cloud Computing.mp4 |
68.06Мб |
| 1. What is AWS and Cloud Computing.srt |
11.78Кб |
| 10. AWS SageMaker Studio Walk-through.mp4 |
51.51Мб |
| 10. AWS SageMaker Studio Walk-through.srt |
10.71Кб |
| 10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.mp4 |
65.70Мб |
| 10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.srt |
10.59Кб |
| 10. Task #9 - Apply DeepDream Algorithm to Generate Images.mp4 |
66.90Мб |
| 10. Task #9 - Apply DeepDream Algorithm to Generate Images.srt |
11.10Кб |
| 10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.mp4 |
136.71Мб |
| 10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.srt |
21.62Кб |
| 10. Task #9 - Build ResNet to Detect Key Facial Points.mp4 |
131.85Мб |
| 10. Task #9 - Build ResNet to Detect Key Facial Points.srt |
19.60Кб |
| 10. Task #9 - Understand the Theory and Intuition Behind Auto-encoders.mp4 |
83.04Мб |
| 10. Task #9 - Understand the Theory and Intuition Behind Auto-encoders.srt |
12.50Кб |
| 11. AWS SageMaker Model Deployment.mp4 |
110.86Мб |
| 11. AWS SageMaker Model Deployment.srt |
15.16Кб |
| 11. Task #10 - Apply Auto-encoders and Perform Clustering.mp4 |
135.32Мб |
| 11. Task #10 - Apply Auto-encoders and Perform Clustering.srt |
19.27Кб |
| 11. Task #10 - Compile and Train Facial Key Points Detector Model.mp4 |
68.11Мб |
| 11. Task #10 - Compile and Train Facial Key Points Detector Model.srt |
11.49Кб |
| 11. Task #10 - Generate DeepDream Video.mp4 |
77.81Мб |
| 11. Task #10 - Generate DeepDream Video.srt |
10.87Кб |
| 11. Task #10 - Train ResUnet Segmentation Model.mp4 |
38.29Мб |
| 11. Task #10 - Train ResUnet Segmentation Model.srt |
5.93Кб |
| 11. Task #9 - Understand XG-Boost in AWS SageMaker.mp4 |
77.68Мб |
| 11. Task #9 - Understand XG-Boost in AWS SageMaker.srt |
11.04Кб |
| 12. Task #10 - Train XG-Boost in AWS SageMaker.mp4 |
140.40Мб |
| 12. Task #10 - Train XG-Boost in AWS SageMaker.srt |
23.06Кб |
| 12. Task #11 - Assess Trained ResNet Model Performance.mp4 |
42.91Мб |
| 12. Task #11 - Assess Trained ResNet Model Performance.srt |
7.28Кб |
| 12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.mp4 |
128.67Мб |
| 12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.srt |
18.78Кб |
| 13. Task #11 - Deploy Model and Make Inference.mp4 |
107.90Мб |
| 13. Task #11 - Deploy Model and Make Inference.srt |
15.30Кб |
| 13. Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.mp4 |
94.82Мб |
| 13. Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.srt |
17.63Кб |
| 14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).mp4 |
122.81Мб |
| 14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).srt |
22.04Кб |
| 14. Task #13 - Visualize Images for Facial Expression Detection.mp4 |
55.97Мб |
| 14. Task #13 - Visualize Images for Facial Expression Detection.srt |
11.21Кб |
| 15. Task #14 - Perform Image Augmentation.mp4 |
109.35Мб |
| 15. Task #14 - Perform Image Augmentation.srt |
19.99Кб |
| 16. Task #15 - Build & Train a Facial Expression Classifier Model.mp4 |
138.26Мб |
| 16. Task #15 - Build & Train a Facial Expression Classifier Model.srt |
22.69Кб |
| 17. Task #16 - Understand Classifiers Key Performance Indicators (KPIs).mp4 |
135.26Мб |
| 17. Task #16 - Understand Classifiers Key Performance Indicators (KPIs).srt |
21.42Кб |
| 18. Task #17 - Assess Facial Expression Classifier Model.mp4 |
104.52Мб |
| 18. Task #17 - Assess Facial Expression Classifier Model.srt |
21.09Кб |
| 19. Task #18 - Make Predictions from Both Models 1. Key Facial Points & 2. Emotion.mp4 |
60.04Мб |
| 19. Task #18 - Make Predictions from Both Models 1. Key Facial Points & 2. Emotion.srt |
11.36Кб |
| 2. Introduction, Key Tips and Best Practices.mp4 |
108.49Мб |
| 2. Introduction, Key Tips and Best Practices.srt |
14.99Кб |
| 2. Introduction and Welcome Message.html |
65б |
| 2. Key Machine Learning Components and AWS Tour.mp4 |
60.76Мб |
| 2. Key Machine Learning Components and AWS Tour.srt |
13.63Кб |
| 2. Notes on Amazon Web Services (AWS).html |
787б |
| 2. Task #1 - Understand AI Applications in Marketing.mp4 |
73.74Мб |
| 2. Task #1 - Understand AI Applications in Marketing.srt |
10.07Кб |
| 2. Task #1 - Understand the Problem Statement & Business Case.mp4 |
136.85Мб |
| 2. Task #1 - Understand the Problem Statement & Business Case.mp4 |
118.88Мб |
| 2. Task #1 - Understand the Problem Statement & Business Case.srt |
13.63Кб |
| 2. Task #1 - Understand the Problem Statement & Business Case.srt |
15.89Кб |
| 2. Task #1 - Understand the Problem Statement and Business Case.mp4 |
175.95Мб |
| 2. Task #1 - Understand the Problem Statement and Business Case.srt |
24.04Кб |
| 20. Task #19 - Save Trained Model for Deployment.mp4 |
101.84Мб |
| 20. Task #19 - Save Trained Model for Deployment.srt |
14.61Кб |
| 21. Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.mp4 |
41.17Мб |
| 21. Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.srt |
7.05Кб |
| 22. Task #21 - Deploy Both Models and Make Inference.mp4 |
88.50Мб |
| 22. Task #21 - Deploy Both Models and Make Inference.srt |
12.05Кб |
| 3. Course Outline and Key Learning Outcomes.mp4 |
174.78Мб |
| 3. Course Outline and Key Learning Outcomes.srt |
24.27Кб |
| 3. Regions and Availability Zones.mp4 |
52.94Мб |
| 3. Regions and Availability Zones.srt |
8.81Кб |
| 3. Task #1 - Understand the Problem Statement & Business Case.mp4 |
105.46Мб |
| 3. Task #1 - Understand the Problem Statement & Business Case.srt |
16.78Кб |
| 3. Task #2 - Import Libraries and Datasets.mp4 |
107.07Мб |
| 3. Task #2 - Import Libraries and Datasets.mp4 |
102.22Мб |
| 3. Task #2 - Import Libraries and Datasets.mp4 |
106.54Мб |
| 3. Task #2 - Import Libraries and Datasets.srt |
17.08Кб |
| 3. Task #2 - Import Libraries and Datasets.srt |
18.83Кб |
| 3. Task #2 - Import Libraries and Datasets.srt |
21.28Кб |
| 3. Task #2 - Import Model with Pre-trained Weights.mp4 |
53.87Мб |
| 3. Task #2 - Import Model with Pre-trained Weights.srt |
11.38Кб |
| 4. Amazon S3.mp4 |
111.36Мб |
| 4. Amazon S3.srt |
20.97Кб |
| 4. Get the Materials.html |
384б |
| 4. Task #2 - Import Libraries and Datasets.mp4 |
51.86Мб |
| 4. Task #2 - Import Libraries and Datasets.srt |
7.48Кб |
| 4. Task #3 - Import and Merge Images.mp4 |
67.98Мб |
| 4. Task #3 - Import and Merge Images.srt |
14.32Кб |
| 4. Task #3 - Perform Exploratory Data Analysis (Part #1).mp4 |
132.99Мб |
| 4. Task #3 - Perform Exploratory Data Analysis (Part #1).srt |
25.61Кб |
| 4. Task #3 - Perform Image Visualizations.mp4 |
87.34Мб |
| 4. Task #3 - Perform Image Visualizations.srt |
14.84Кб |
| 4. Task #3 - Visualize and Explore Datasets.mp4 |
164.87Мб |
| 4. Task #3 - Visualize and Explore Datasets.srt |
32.64Кб |
| 5. EC2 and Identity and Access Management (IAM).mp4 |
108.29Мб |
| 5. EC2 and Identity and Access Management (IAM).srt |
18.66Кб |
| 5. Task #3 - Visualize and Explore Dataset.mp4 |
199.67Мб |
| 5. Task #3 - Visualize and Explore Dataset.srt |
31.28Кб |
| 5. Task #4 - Perform Exploratory Data Analysis (Part #2).mp4 |
182.96Мб |
| 5. Task #4 - Perform Exploratory Data Analysis (Part #2).srt |
30.12Кб |
| 5. Task #4 - Perform Images Augmentation.mp4 |
141.82Мб |
| 5. Task #4 - Perform Images Augmentation.srt |
26.99Кб |
| 5. Task #4 - Run the Pre-trained Model and Explore Activations.mp4 |
85.05Мб |
| 5. Task #4 - Run the Pre-trained Model and Explore Activations.srt |
15.37Кб |
| 5. Task #4 - Understand the Intuition behind ResNet and CNNs.mp4 |
122.27Мб |
| 5. Task #4 - Understand the Intuition behind ResNet and CNNs.srt |
16.56Кб |
| 6. AWS Free Tier Account Setup and Overview.mp4 |
38.11Мб |
| 6. AWS Free Tier Account Setup and Overview.srt |
8.57Кб |
| 6. Task #4 - Clean Up the Data.mp4 |
55.60Мб |
| 6. Task #4 - Clean Up the Data.srt |
9.08Кб |
| 6. Task #5 - Perform Data Normalization and Scaling.mp4 |
59.34Мб |
| 6. Task #5 - Perform Data Normalization and Scaling.srt |
11.68Кб |
| 6. Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.mp4 |
165.30Мб |
| 6. Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.srt |
27.29Кб |
| 6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.mp4 |
120.68Мб |
| 6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.srt |
17.95Кб |
| 6. Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.mp4 |
195.03Мб |
| 6. Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.srt |
30.62Кб |
| 7. Apply Elbow Method to Find the Optimal Number of Clusters.mp4 |
72.65Мб |
| 7. Apply Elbow Method to Find the Optimal Number of Clusters.srt |
12.89Кб |
| 7. AWS SageMaker Overview.mp4 |
64.64Мб |
| 7. AWS SageMaker Overview.srt |
13.34Кб |
| 7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.mp4 |
212.63Мб |
| 7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.srt |
32.56Кб |
| 7. Task #6 - Train a Classifier Model To Detect Brain Tumors.mp4 |
201.36Мб |
| 7. Task #6 - Train a Classifier Model To Detect Brain Tumors.srt |
33.42Кб |
| 7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.mp4 |
219.47Мб |
| 7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.srt |
31.15Кб |
| 7. Task #6 - Understand The Gradient Operations in TF 2.0.mp4 |
37.47Мб |
| 7. Task #6 - Understand The Gradient Operations in TF 2.0.srt |
8.70Кб |
| 8. AWS SageMaker Walk-through.mp4 |
81.60Мб |
| 8. AWS SageMaker Walk-through.srt |
16.22Кб |
| 8. Task #6 - Understand XG-Boost Algorithm Key Steps.mp4 |
205.48Мб |
| 8. Task #6 - Understand XG-Boost Algorithm Key Steps.srt |
31.99Кб |
| 8. Task #7 - Apply K-Means Clustering Algorithm.mp4 |
145.46Мб |
| 8. Task #7 - Apply K-Means Clustering Algorithm.srt |
24.43Кб |
| 8. Task #7 - Assess Trained Classifier Model Performance.mp4 |
79.19Мб |
| 8. Task #7 - Assess Trained Classifier Model Performance.srt |
13.72Кб |
| 8. Task #7 - Implement Deep Dream Algorithm Part #1.mp4 |
83.08Мб |
| 8. Task #7 - Implement Deep Dream Algorithm Part #1.srt |
15.01Кб |
| 8. Task #7 - Understand ANNs Training & Gradient Descent Algorithm.mp4 |
160.52Мб |
| 8. Task #7 - Understand ANNs Training & Gradient Descent Algorithm.srt |
27.06Кб |
| 9. AWS SageMaker Studio Overview.mp4 |
66.93Мб |
| 9. AWS SageMaker Studio Overview.srt |
12.55Кб |
| 9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.mp4 |
71.48Мб |
| 9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.srt |
12.16Кб |
| 9. Task #8 - Implement Deep Dream Algorithm Part #2.mp4 |
120.75Мб |
| 9. Task #8 - Implement Deep Dream Algorithm Part #2.srt |
17.67Кб |
| 9. Task #8 - Understand Convolutional Neural Networks and ResNets.mp4 |
127.04Мб |
| 9. Task #8 - Understand Convolutional Neural Networks and ResNets.srt |
19.19Кб |
| 9. Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).mp4 |
100.97Мб |
| 9. Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).srt |
15.63Кб |
| 9. Task #8 - Understand ResUnet Segmentation Models Intuition.mp4 |
150.52Мб |
| 9. Task #8 - Understand ResUnet Segmentation Models Intuition.srt |
20.82Кб |
| Download More Courses.html |
225б |
| Important !! Course Resources Files.html |
225б |