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DeepLearningComplete Computer Vision With GenAI-12 Projects
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[TutsNode.org] - DeepLearningComplete Computer Vision With GenAI-12 Projects (Size: 13.01 GB) (Files: 212)
[TutsNode.org] - DeepLearningComplete Computer Vision With GenAI-12 Projects
8. Datasets Part 1 (Till this Point)
2.2 train_Normal+for+Xray+Dataset.zip
1. Cat Dog Images Datasets.html
2. Xray DataSet.html
2.3 train_PNEUMONIA+for+Xray+Dataset.zip
1.1 cat_dog_sub.zip
2.1 test+&+Validation+for+Xray+Dataset.zip
11. YOLO Models for Object Detection, classification, segmentation, Pose Detection
4.2 Instance Segmentation yolov8.ipynb
5.2 street.jpg
4.1 config (1).yaml
3.2 Weather_yolo_img_clsf_data (1).zip
5.3 street2.jpg
6.2 YOLO Videos for inference.zip
5.1 Pose -keypoint detection.ipynb
3. YOLOv8 classification Project-7.mp4
3.1 Proj_04_Weather_yolo_img_clsf_data.ipynb
1. YOLOV5 Hardhat & Vest object detection Project-6.mp4
6.1 Yolo Video run.ipynb
6. YOLO on videos.mp4
4. Instance segmentation using YOLOV8-seg Project -8.mp4
5. Keypoint detection using YOLOV8-pose.mp4
1.1 Hardhat - Vest.v1i.yolov5pytorch.zip
1.2 TRAIN_YOLO_V5 objectDetection_ON_vest & hardhat_DATASET.ipynb
2. YOLOv8 intro.mp4
4.3 Pothole segmentation yolov8 (1).zip
13. Object Tracking & Counting Project
2.1 Track and count vehicles.ipynb
1.1 YOLOv8_object_tracking.ipynb
2. Object Tracking & Counting Project-9.mp4
1. YOLOV8 object Tracking.mp4
3. Tensorflow and Keras
8.1 04+Feed+forward+networks.ipynb
8. Feed Forward Network Implementation and Keras Callbacks.mp4
1.1 03+Model+building+-+Seq+vs+Functional+API.ipynb
2. Sequential API code.mp4
9. Optimizers.mp4
5. Activation Functions.mp4
3. Functional API Code.mp4
4. ML problem Cost Gradient CV.mp4
10. Loss functions.mp4
6. Sequential Vs Functional API.mp4
1. Sequential Vs Functional API.mp4
7. Tips for Improving Model Performance.mp4
11. Performance Metrics.mp4
14. Human Action Recognition Project
1. Human Action Recognition Project 10.mp4
1.1 video based Action_Recognition_(UCF101_Dataset)ipynb.original
5. Keras Preprocessing Layers and Transfer Learning
2.1 06+Keras+Preprocessing+Layers.ipynb
8.1 Exercise+5-+transfer_learning+Chest+Xray+Dataset.ipynb
6.1 07+Transfer+Learning+on+Cats+and+dogs+dataset.ipynb
6. transfer learning code.mp4
2. Keras Preprocessing Layers Image Augmentation Code.mp4
8. Transfer learning Exercise-4 Solution.mp4
5. Transfer Learning Introduction.mp4
1. Keras Preprocessing Layers Intro.mp4
4. Keras Preprocessing Layers Solution-3.mp4
7. Transfer Learning Exercise 4 -XrayDataset.mp4
3. Keras Preprocessing Layers Exercise-3.mp4
4.1 Exercise-4+Keras+Preprocessing+Layer+cats+n+dogs.ipynb
4. Image Classification Explained & Project
2.1 05+CNN+with+CIFAR10.ipynb
6.1 Exercise+3.+Fashion-MNIST+Classifier+using+CNN.ipynb
4.1 Exercise+2.+Mnist+classifier+using+CNN.ipynb
1. CNN INTRO.mp4
2. CNN_Implementation.mp4
4. CNN Exercise -1 Solution.mp4
6. CNN Exercise -2 Solution.mp4
3. CNN Exercise -1 Problem.mp4
5. CNN Exercise -2 Problem.mp4
7. GANS & image captioning Project
5.1 13+GAN+fashion+MNIST+Generator.ipynb
6.1 image_caption_map (2).csv
6.2 images (2).zip
5. GAN Implementation.mp4
8. Project image captioning solution Part- 2.mp4
7. Project image captioning solution Part- 1.mp4
9. Project Image captioning solution Part- 3.mp4
3. GANs Training.mp4
1. GANs Introduction.mp4
2. GAN COMPONENTS.mp4
4. GANs Applications Pros _ Cons.mp4
6. Project Image Captioning Problem-5.mp4
7.1 Project_Image_Captioning_with_Googles_conceptual_captions_data (1).ipynb
12. Segmentation using FAST-SAM
1.2 Fast_sam (1).ipynb
1.1 dogs.jpg
1.3 FastSAM-x.pt
1. Fast SAM (Segment Anything Model).mp4
18. More learning GENERATIVE AI - Image Generation Via Prompting -Diffusion Models
3. 76 Stable diffusion tools.mp4
5. 78 stable diffusion resources.mp4
1. 74 Stable Diffusion.mp4
6. 79 STABLE DIFFUSION code.mp4
7. 80 stable diffusion UI.mp4
8. 81 stable cascade.mp4
4. 77 Stable diffusion tools.mp4
9. 82 forge setup.mp4
2. 75 clip and unet for stable diffusion.mp4
15. Image Analysis Models
2.1 moondream1.ipynb
1. YOLO-WORLD demo.mp4
2. Moondream1.mp4
1.1 YOLO-WORLD.ipynb
10. Image Annotation Tools
1. Image Annotation Tools.mp4
16. Face Detection & Recognition (AGE GENDER MOOD Analysis)
1. Face Recognition Using DeepFace Project 11.mp4
1.1 FaceRecognition DeepFace.ipynb
2. Neural Networks-Into the world of Deep Learning
2. Neural Networks.mp4
1. Intuition Neural Networks.mp4
4. Lifecycle of model 5 steps.mp4
3. Approach to deep learning problems.mp4
9. Object Detection Everything you should know
9. Intro to YOLO.mp4
3. Types of Segmentation.mp4
10. SSD.mp4
2. Semantic segmentation vs instance segmentation.mp4
6. Fast RCNN.mp4
4. Two step object detection.mp4
5. RCNN Architecture.mp4
8. Mask RCNN.mp4
7. Faster RCNN.mp4
1. Object Detection Part start.mp4
17. Deepfake Generation
1. DeepFake Generation Project 12.mp4
6. RNN LSTM & GRU Introduction
1. LSTM GRU Introduction.mp4
1. Computer Vision Introduction & Basics
2. Past Present Future Trends.mp4
5. Color Spaces.mp4
4. Image Processing basics.mp4
3. Applications.mp4
1. Introduction.mp4
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