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1. CNN INTRO.mp4
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1. 74 Stable Diffusion.mp4
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1. Cat Dog Images Datasets.html
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1. DeepFake Generation Project 12.mp4
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1. Face Recognition Using DeepFace Project 11.mp4
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270.2 MB
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1. Fast SAM (Segment Anything Model).mp4
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126.2 MB
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1. GANs Introduction.mp4
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1. Human Action Recognition Project 10.mp4
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394.2 MB
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1. Image Annotation Tools.mp4
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313.7 MB
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1. Introduction.mp4
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20 MB
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1. Intuition Neural Networks.mp4
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48.7 MB
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1. Keras Preprocessing Layers Intro.mp4
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1. LSTM GRU Introduction.mp4
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1. Object Detection Part start.mp4
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1. Sequential Vs Functional API.mp4
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1. YOLO-WORLD demo.mp4
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1. YOLOV5 Hardhat & Vest object detection Project-6.mp4
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318 MB
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1. YOLOV8 object Tracking.mp4
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1.1 03+Model+building+-+Seq+vs+Functional+API.ipynb
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IPYNB
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405.9 KB
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1.1 FaceRecognition DeepFace.ipynb
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IPYNB
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1.1 Hardhat - Vest.v1i.yolov5pytorch.zip
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96.5 MB
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1.1 YOLO-WORLD.ipynb
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1.1 YOLOv8_object_tracking.ipynb
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1.1 cat_dog_sub.zip
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1.1 dogs.jpg
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1.1 video based Action_Recognition_(UCF101_Dataset)ipynb.original
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ORIGINAL
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1.2 Fast_sam (1).ipynb
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IPYNB
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1.2 TRAIN_YOLO_V5 objectDetection_ON_vest & hardhat_DATASET.ipynb
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1.3 FastSAM-x.pt
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10. Loss functions.mp4
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10. SSD.mp4
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11. Performance Metrics.mp4
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2. 75 clip and unet for stable diffusion.mp4
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2. CNN_Implementation.mp4
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2. GAN COMPONENTS.mp4
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2. Keras Preprocessing Layers Image Augmentation Code.mp4
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157.1 MB
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2. Moondream1.mp4
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2. Neural Networks.mp4
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2. Object Tracking & Counting Project-9.mp4
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2. Past Present Future Trends.mp4
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45 MB
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2. Semantic segmentation vs instance segmentation.mp4
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2. Sequential API code.mp4
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2. Xray DataSet.html
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2. YOLOv8 intro.mp4
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2.1 05+CNN+with+CIFAR10.ipynb
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2.1 06+Keras+Preprocessing+Layers.ipynb
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2.1 Track and count vehicles.ipynb
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2.1 moondream1.ipynb
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2.1 test+&+Validation+for+Xray+Dataset.zip
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ZIP
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2.2 train_Normal+for+Xray+Dataset.zip
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ZIP
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778 MB
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2.3 train_PNEUMONIA+for+Xray+Dataset.zip
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3. 76 Stable diffusion tools.mp4
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3. Applications.mp4
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3. Approach to deep learning problems.mp4
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3. CNN Exercise -1 Problem.mp4
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5 MB
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3. Functional API Code.mp4
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3. GANs Training.mp4
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3. Keras Preprocessing Layers Exercise-3.mp4
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3. Types of Segmentation.mp4
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3. YOLOv8 classification Project-7.mp4
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3.1 Proj_04_Weather_yolo_img_clsf_data.ipynb
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IPYNB
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3.2 Weather_yolo_img_clsf_data (1).zip
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498.2 MB
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4. 77 Stable diffusion tools.mp4
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112 MB
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4. CNN Exercise -1 Solution.mp4
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4. GANs Applications Pros _ Cons.mp4
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4. Image Processing basics.mp4
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4. Instance segmentation using YOLOV8-seg Project -8.mp4
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4. Keras Preprocessing Layers Solution-3.mp4
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4. Lifecycle of model 5 steps.mp4
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4. ML problem Cost Gradient CV.mp4
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4. Two step object detection.mp4
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4.1 Exercise+2.+Mnist+classifier+using+CNN.ipynb
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4.1 Exercise-4+Keras+Preprocessing+Layer+cats+n+dogs.ipynb
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4.1 config (1).yaml
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4.2 Instance Segmentation yolov8.ipynb
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IPYNB
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4.3 Pothole segmentation yolov8 (1).zip
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5. 78 stable diffusion resources.mp4
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5. Activation Functions.mp4
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5. CNN Exercise -2 Problem.mp4
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5. Color Spaces.mp4
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5. GAN Implementation.mp4
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5. Keypoint detection using YOLOV8-pose.mp4
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5. RCNN Architecture.mp4
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5. Transfer Learning Introduction.mp4
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5.1 13+GAN+fashion+MNIST+Generator.ipynb
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5.1 Pose -keypoint detection.ipynb
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5.2 street.jpg
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5.3 street2.jpg
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6. 79 STABLE DIFFUSION code.mp4
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6. CNN Exercise -2 Solution.mp4
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6. Fast RCNN.mp4
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6. Project Image Captioning Problem-5.mp4
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6. Sequential Vs Functional API.mp4
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6. YOLO on videos.mp4
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202.5 MB
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6. transfer learning code.mp4
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6.1 07+Transfer+Learning+on+Cats+and+dogs+dataset.ipynb
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IPYNB
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6.1 Exercise+3.+Fashion-MNIST+Classifier+using+CNN.ipynb
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6.1 Yolo Video run.ipynb
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6.1 image_caption_map (2).csv
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6.2 YOLO Videos for inference.zip
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ZIP
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6.2 images (2).zip
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7. 80 stable diffusion UI.mp4
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7. Faster RCNN.mp4
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7. Project image captioning solution Part- 1.mp4
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7. Tips for Improving Model Performance.mp4
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7. Transfer Learning Exercise 4 -XrayDataset.mp4
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7.1 Project_Image_Captioning_with_Googles_conceptual_captions_data (1).ipynb
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8. 81 stable cascade.mp4
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8. Feed Forward Network Implementation and Keras Callbacks.mp4
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8. Mask RCNN.mp4
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8. Project image captioning solution Part- 2.mp4
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8. Transfer learning Exercise-4 Solution.mp4
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8.1 04+Feed+forward+networks.ipynb
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8.1 Exercise+5-+transfer_learning+Chest+Xray+Dataset.ipynb
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9. 82 forge setup.mp4
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9. Intro to YOLO.mp4
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9. Optimizers.mp4
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9. Project Image captioning solution Part- 3.mp4
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TutsNode.org.txt
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