DeepLearningComplete Computer Vision With GenAI 12 Projects | 17BAEC0016F1C1F758763871B532272369C7C7AE

DeepLearningComplete Computer Vision With GenAI 12 Projects

Name	DeepLearningComplete Computer Vision With GenAI-12 Projects	DOWNLOAD Copy Link
Total Size	14.0 GB
Total Files	212
Last Seen	2024-07-08 23:49
Hash	17BAEC0016F1C1F758763871B532272369C7C7AE

/.../8. Datasets Part 1 (Till this Point)/
2.2 train_Normal+for+Xray+Dataset.zip	815.8 MB
1. Cat Dog Images Datasets.html	0.0 KB
2. Xray DataSet.html	0.0 KB
2.3 train_PNEUMONIA+for+Xray+Dataset.zip	329.2 MB
1.1 cat_dog_sub.zip	134.3 MB
2.1 test+&+Validation+for+Xray+Dataset.zip	80.6 MB
/.../11. YOLO Models for Object Detection, classification, segmentation, Pose Detection/
4.2 Instance Segmentation yolov8.ipynb	1.8 MB
5.2 street.jpg	264.0 KB
4.1 config (1).yaml	0.1 KB
3.2 Weather_yolo_img_clsf_data (1).zip	522.4 MB
5.3 street2.jpg	137.7 KB
6.2 YOLO Videos for inference.zip	407.3 MB
5.1 Pose -keypoint detection.ipynb	1.5 MB
3. YOLOv8 classification Project-7.mp4	361.7 MB
3.1 Proj_04_Weather_yolo_img_clsf_data.ipynb	888.1 KB
1. YOLOV5 Hardhat & Vest object detection Project-6.mp4	333.5 MB
6.1 Yolo Video run.ipynb	855.2 KB
6. YOLO on videos.mp4	212.3 MB
4. Instance segmentation using YOLOV8-seg Project -8.mp4	160.9 MB
5. Keypoint detection using YOLOV8-pose.mp4	135.8 MB
1.1 Hardhat - Vest.v1i.yolov5pytorch.zip	101.2 MB
1.2 TRAIN_YOLO_V5 objectDetection_ON_vest & hardhat_DATASET.ipynb	74.7 MB
2. YOLOv8 intro.mp4	55.9 MB
4.3 Pothole segmentation yolov8 (1).zip	52.1 MB
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TutsNode.org.txt	0.1 KB
/.pad/
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3	8.2 KB
4	205.6 KB
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6	35.5 KB
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9	203.4 KB
10	27.8 KB
11	472.5 KB
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13	672.1 KB
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16	135.3 KB
17	135.6 KB
18	1.6 MB
19	825.1 KB
20	1.5 MB
21	883.5 KB
22	1.8 MB
23	1.6 MB
24	97.4 KB
25	1.6 MB
26	367.2 KB
27	1.7 MB
28	235.4 KB
29	1.1 MB
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31	543.1 KB
32	310.8 KB
33	493.3 KB
34	402.1 KB
35	627.8 KB
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62	1.3 MB
63	1.8 MB
64	532.2 KB
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67	473.5 KB
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69	1.0 MB
70	343.0 KB
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87	444.5 KB
88	817.0 KB
89	1.2 MB
90	1.3 MB
91	1.5 MB
92	1.6 MB
/.../13. Object Tracking & Counting Project/
2.1 Track and count vehicles.ipynb	1.7 MB
1.1 YOLOv8_object_tracking.ipynb	10.3 KB
2. Object Tracking & Counting Project-9.mp4	325.1 MB
1. YOLOV8 object Tracking.mp4	85.3 MB
/.../3. Tensorflow and Keras/
8.1 04+Feed+forward+networks.ipynb	150.5 KB
8. Feed Forward Network Implementation and Keras Callbacks.mp4	307.5 MB
1.1 03+Model+building+-+Seq+vs+Functional+API.ipynb	415.7 KB
2. Sequential API code.mp4	292.8 MB
9. Optimizers.mp4	242.4 MB
5. Activation Functions.mp4	168.8 MB
3. Functional API Code.mp4	157.0 MB
4. ML problem Cost Gradient CV.mp4	148.5 MB
10. Loss functions.mp4	125.7 MB
6. Sequential Vs Functional API.mp4	67.4 MB
1. Sequential Vs Functional API.mp4	65.3 MB
7. Tips for Improving Model Performance.mp4	58.2 MB
11. Performance Metrics.mp4	15.6 MB
/.../14. Human Action Recognition Project/
1. Human Action Recognition Project 10.mp4	413.4 MB
1.1 video based Action_Recognition_(UCF101_Dataset)ipynb.original	3.4 MB
/.../5. Keras Preprocessing Layers and Transfer Learning/
2.1 06+Keras+Preprocessing+Layers.ipynb	1.6 MB
8.1 Exercise+5-+transfer_learning+Chest+Xray+Dataset.ipynb	752.9 KB
6.1 07+Transfer+Learning+on+Cats+and+dogs+dataset.ipynb	524.5 KB
6. transfer learning code.mp4	303.2 MB
2. Keras Preprocessing Layers Image Augmentation Code.mp4	164.8 MB
8. Transfer learning Exercise-4 Solution.mp4	145.0 MB
5. Transfer Learning Introduction.mp4	132.5 MB
1. Keras Preprocessing Layers Intro.mp4	62.4 MB
4. Keras Preprocessing Layers Solution-3.mp4	60.5 MB
7. Transfer Learning Exercise 4 -XrayDataset.mp4	4.8 MB
3. Keras Preprocessing Layers Exercise-3.mp4	2.7 MB
4.1 Exercise-4+Keras+Preprocessing+Layer+cats+n+dogs.ipynb	2.2 MB
/.../4. Image Classification Explained & Project/
2.1 05+CNN+with+CIFAR10.ipynb	98.1 KB
6.1 Exercise+3.+Fashion-MNIST+Classifier+using+CNN.ipynb	95.9 KB
4.1 Exercise+2.+Mnist+classifier+using+CNN.ipynb	50.2 KB
1. CNN INTRO.mp4	305.7 MB
2. CNN_Implementation.mp4	295.0 MB
4. CNN Exercise -1 Solution.mp4	199.7 MB
6. CNN Exercise -2 Solution.mp4	126.0 MB
3. CNN Exercise -1 Problem.mp4	5.3 MB
5. CNN Exercise -2 Problem.mp4	2.9 MB
/.../7. GANS & image captioning Project/
5.1 13+GAN+fashion+MNIST+Generator.ipynb	36.2 KB
6.1 image_caption_map (2).csv	319.6 KB
6.2 images (2).zip	280.9 MB
5. GAN Implementation.mp4	271.0 MB
8. Project image captioning solution Part- 2.mp4	215.1 MB
7. Project image captioning solution Part- 1.mp4	146.2 MB
9. Project Image captioning solution Part- 3.mp4	134.2 MB
3. GANs Training.mp4	125.0 MB
1. GANs Introduction.mp4	82.3 MB
2. GAN COMPONENTS.mp4	67.7 MB
4. GANs Applications Pros _ Cons.mp4	44.6 MB
6. Project Image Captioning Problem-5.mp4	37.9 MB
7.1 Project_Image_Captioning_with_Googles_conceptual_captions_data (1).ipynb	3.0 MB
/.../12. Segmentation using FAST-SAM/
1.2 Fast_sam (1).ipynb	33.0 KB
1.1 dogs.jpg	448.7 KB
1.3 FastSAM-x.pt	144.9 MB
1. Fast SAM (Segment Anything Model).mp4	132.3 MB
/.../18. More learning GENERATIVE AI - Image Generation Via Prompting -Diffusion Models/
3. 76 Stable diffusion tools.mp4	335.3 MB
5. 78 stable diffusion resources.mp4	276.7 MB
1. 74 Stable Diffusion.mp4	192.6 MB
6. 79 STABLE DIFFUSION code.mp4	189.1 MB
7. 80 stable diffusion UI.mp4	154.7 MB
8. 81 stable cascade.mp4	136.4 MB
4. 77 Stable diffusion tools.mp4	117.4 MB
9. 82 forge setup.mp4	97.8 MB
2. 75 clip and unet for stable diffusion.mp4	87.4 MB
/.../15. Image Analysis Models/
2.1 moondream1.ipynb	1.3 MB
1. YOLO-WORLD demo.mp4	207.5 MB
2. Moondream1.mp4	124.1 MB
1.1 YOLO-WORLD.ipynb	3.7 MB
/.../10. Image Annotation Tools/
1. Image Annotation Tools.mp4	329.0 MB
/.../16. Face Detection & Recognition (AGE GENDER MOOD Analysis)/
1. Face Recognition Using DeepFace Project 11.mp4	283.3 MB
1.1 FaceRecognition DeepFace.ipynb	2.6 MB
/.../2. Neural Networks-Into the world of Deep Learning/
2. Neural Networks.mp4	241.7 MB
1. Intuition Neural Networks.mp4	51.1 MB
4. Lifecycle of model 5 steps.mp4	41.3 MB
3. Approach to deep learning problems.mp4	25.3 MB
/.../9. Object Detection Everything you should know/
9. Intro to YOLO.mp4	214.2 MB
3. Types of Segmentation.mp4	131.8 MB
10. SSD.mp4	100.8 MB
2. Semantic segmentation vs instance segmentation.mp4	79.1 MB
6. Fast RCNN.mp4	65.8 MB
4. Two step object detection.mp4	62.1 MB
5. RCNN Architecture.mp4	55.6 MB
8. Mask RCNN.mp4	37.2 MB
7. Faster RCNN.mp4	35.7 MB
1. Object Detection Part start.mp4	4.9 MB
/.../17. Deepfake Generation/
1. DeepFake Generation Project 12.mp4	182.2 MB
/.../6. RNN LSTM & GRU Introduction/
1. LSTM GRU Introduction.mp4	95.6 MB
/.../1. Computer Vision Introduction & Basics/
2. Past Present Future Trends.mp4	47.2 MB
5. Color Spaces.mp4	34.6 MB
4. Image Processing basics.mp4	29.6 MB
3. Applications.mp4	21.7 MB
1. Introduction.mp4	21.0 MB
Total files 212