453.53 MB | 00:06:02 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Course Overview (2.85 MB)
1 Understand Computer Vision (9.47 MB)
2 Case Study - Autonomous Vechicles (5.72 MB)
3 Data Privacy (3.43 MB)
4 Compliance Considerations (4.63 MB)
5 Copyright (7.01 MB)
6 Benefits and Harms (5.19 MB)
1 Course Overview (3.76 MB)
1 Course Introduction (2.11 MB)
2 A Peek into Image Representation (7 MB)
3 Shape Shifting Pixels - Exploring Image Transformations (3.88 MB)
4 Preparing Your Image Data (6.24 MB)
1 Demo - Setting Up Your Developer Environment (4.31 MB)
2 Demo - Building, Training, and Evaluating an Image Classifier (18.32 MB)
3 Computer Visions Role Across Industries (8.12 MB)
4 Image Crafting Essentials - A Tour of OpenCV and Pillow (10.85 MB)
1 Course Overview (5.77 MB)
1 Using OpenCV for Image Segmentation (15.92 MB)
2 Applying the Watershed Algorithm (9.28 MB)
3 Using Pillow for Image Segmentation (6.71 MB)
1 Introducing the U-Net Deep Learning Model (6.94 MB)
2 Preparing Our Data for Image Segmentation (15.29 MB)
3 Applying the U-Net Model to Image Segmentation (17.68 MB)
4 Executing the Model (11.28 MB)
1 Course Overview (4.36 MB)
1 Introduction to Image Classification and Dataset (8.23 MB)
2 Data Preparation and Feature Extraction (4.71 MB)
3 Building a Basic Image Classification Model (4.34 MB)
4 Demo - Implementing a CNN for Image Classification (26.84 MB)
5 Evaluating Image Classifiers (8.72 MB)
2 Introduction to Transfer Learning (5.56 MB)
3 Demo - Transfer Learning with Advanced Architectures (18.58 MB)
4 Course Summary and Next Steps (7.21 MB)
1 Course Overview (2.55 MB)
2 Using Neural Networks for Image Classification (15.71 MB)
3 Feature Extraction from Images (4.34 MB)
5 Evaluating a Tensorflow Image Classification Model (10.22 MB)
6 Classifying with a Multilayer Perceptron (8.29 MB)
7 Other Notable Architectures and Libraries (3.11 MB)
4 Mobilenets (4.01 MB)
1 Understand Computer Vision (9.47 MB)
2 Case Study - Autonomous Vechicles (5.72 MB)
3 Data Privacy (3.43 MB)
4 Compliance Considerations (4.63 MB)
5 Copyright (7.01 MB)
6 Benefits and Harms (5.19 MB)
1 Course Overview (3.76 MB)
1 Course Introduction (2.11 MB)
2 A Peek into Image Representation (7 MB)
3 Shape Shifting Pixels - Exploring Image Transformations (3.88 MB)
4 Preparing Your Image Data (6.24 MB)
1 Demo - Setting Up Your Developer Environment (4.31 MB)
2 Demo - Building, Training, and Evaluating an Image Classifier (18.32 MB)
3 Computer Visions Role Across Industries (8.12 MB)
4 Image Crafting Essentials - A Tour of OpenCV and Pillow (10.85 MB)
1 Course Overview (5.77 MB)
1 Using OpenCV for Image Segmentation (15.92 MB)
2 Applying the Watershed Algorithm (9.28 MB)
3 Using Pillow for Image Segmentation (6.71 MB)
1 Introducing the U-Net Deep Learning Model (6.94 MB)
2 Preparing Our Data for Image Segmentation (15.29 MB)
3 Applying the U-Net Model to Image Segmentation (17.68 MB)
4 Executing the Model (11.28 MB)
1 Course Overview (4.36 MB)
1 Introduction to Image Classification and Dataset (8.23 MB)
2 Data Preparation and Feature Extraction (4.71 MB)
3 Building a Basic Image Classification Model (4.34 MB)
4 Demo - Implementing a CNN for Image Classification (26.84 MB)
5 Evaluating Image Classifiers (8.72 MB)
2 Introduction to Transfer Learning (5.56 MB)
3 Demo - Transfer Learning with Advanced Architectures (18.58 MB)
4 Course Summary and Next Steps (7.21 MB)
1 Course Overview (2.55 MB)
2 Using Neural Networks for Image Classification (15.71 MB)
3 Feature Extraction from Images (4.34 MB)
5 Evaluating a Tensorflow Image Classification Model (10.22 MB)
6 Classifying with a Multilayer Perceptron (8.29 MB)
7 Other Notable Architectures and Libraries (3.11 MB)
4 Mobilenets (4.01 MB)
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