- Learn computer vision with GenAI-driven workflows
- Build 12 real-world, hands-on projects
- Work with image detection, recognition, and segmentation
- Use Python, OpenCV, YOLO, and deep learning models
- Train and deploy your own AI-powered applications
- Earn a certification after completion
BENEFITS
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Offer Curriculum
1. Computer Vision Introduction & Basics
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2. Neural Networks-Into the world of Deep Learning
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3. Tensorflow and Keras
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- 1. Sequential Vs Functional API (14:13)
- 2. Sequential API code (58:23)
- 3. Functional API Code (24:40)
- 4. ML problem Cost Gradient CV (28:04)
- 5. Activation Functions (24:46)
- 6. Sequential Vs Functional API (14:13)
- 7. Tips for Improving Model Performance (24:18)
- 8. Feed Forward Network Implementation and Keras Callbacks (56:15)
- 9. Optimizers (36:49)
- 10. Loss functions (17:53)
- 11. Performance Metrics (2:11)
4. Image Classification Explained & Project
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5. Keras Preprocessing Layers and Transfer Learning
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- 2. Keras Preprocessing Layers Image Augmentation Code (28:19)
- 1. Keras Preprocessing Layers Intro (10:23)
- 3. Keras Preprocessing Layers Exercise-3 (0:35)
- 4. Keras Preprocessing Layers Solution-3 (9:24)
- 5. Transfer Learning Introduction (15:29)
- 6. transfer learning code (56:54)
- 7. Transfer Learning Exercise 4 -XrayDataset (0:53)
- 8. Transfer learning Exercise-4 Solution (25:12)
6. RNN LSTM & GRU Introduction
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7. GANS & image captioning Project
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- 2. GAN COMPONENTS (15:56)
- 1. GANs Introduction (15:12)
- 3. GANs Training (18:27)
- 4. GANs Applications Pros _ Cons (9:23)
- 5. GAN Implementation (47:55)
- 6. Project Image Captioning Problem-5 (7:15)
- 6.2 images (2)
- 7. Project image captioning solution Part- 1 (24:43)
- 8. Project image captioning solution Part- 2 (39:38)
- 9. Project Image captioning solution Part- 3 (26:07)
8. Datasets Part 1 (Till this Point)
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9. Object Detection Everything you should know
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10. Image Annotation Tools
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11. YOLO Models for Object Detection, classification, segmentation, Pose Detection
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- 1.1 Hardhat - Vest.v1i.yolov5pytorch
- 1. YOLOV5 Hardhat & Vest object detection Project-6 (41:31)
- 2. YOLOv8 intro (6:21)
- 3. YOLOv8 classification Project-7 (47:43)
- 3.2 Weather_yolo_img_clsf_data (1)
- 4. Instance segmentation using YOLOV8-seg Project -8 (18:56)
- 4.3 Pothole segmentation yolov8 (1)
- 5. Keypoint detection using YOLOV8-pose (18:33)
- 5.2 street
- 5.3 street2
- 6. YOLO on videos (21:09)
- 6.2 YOLO Videos for inference
12. Segmentation using FAST-SAM
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13. Object Tracking & Counting Project
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14. Human Action Recognition Project
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15. Image Analysis Models
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16. Face Detection & Recognition (AGE GENDER MOOD Analysis)
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17. Deepfake Generation
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18. More learning GENERATIVE AI - Image Generation Via Prompting -Diffusion Models
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- 1. 74 Stable Diffusion (25:47)
- 2. 75 clip and unet for stable diffusion (15:05)
- 3. 76 Stable diffusion tools (31:12)
- 4. 77 Stable diffusion tools (19:00)
- 5. 78 stable diffusion resources (30:02)
- 6. 79 STABLE DIFFUSION code (18:14)
- 7. 80 stable diffusion UI (20:06)
- 8. 81 stable cascade (16:24)
- 9. 82 forge setup (11:13)
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