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