01. Introduction.zip
234.3 MB
01. Introduction
02. Download Code and Setup Colab.zip
290.9 MB
02. Download Code and Setup Colab
03. OpenCV - Image Operations - Part 01.zip
445.4 MB
03. OpenCV - Image Operations - Part 01
03. OpenCV - Image Operations - Part 02.zip
319.8 MB
03. OpenCV - Image Operations - Part 02
04. OpenCV - Image Segmentation.zip
415.7 MB
04. OpenCV - Image Segmentation
05. OpenCV - Haar Cascade Classifiers.zip
194.9 MB
05. OpenCV - Haar Cascade Classifiers
06. OpenCV - Image Analysis and Transformation.zip
333.9 MB
06. OpenCV - Image Analysis and Transformation
07. OpenCV - Motion and Object Tracking.zip
213.4 MB
07. OpenCV - Motion and Object Tracking
08. OpenCV - Facial Landmark Detection & Face Swaps.zip
86.2 MB
08. OpenCV - Facial Landmark Detection & Face Swaps
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09. OpenCV Projects - Part 01.zip
369.5 MB
09. OpenCV Projects - Part 01
09. OpenCV Projects - Part 02.zip
430.2 MB
09. OpenCV Projects - Part 02
09. OpenCV Projects - Part 03.zip
83.6 MB
09. OpenCV Projects - Part 03
10. OpenCV - Working With Video.zip
323.6 MB
10. OpenCV - Working With Video
11. Deep Learning in Computer Vision Introduction - Part 01.zip
456.5 MB
11. Deep Learning in Computer Vision Introduction - Part 01
11. Deep Learning in Computer Vision Introduction - Part 02.zip
114.5 MB
11. Deep Learning in Computer Vision Introduction - Part 02
12. Building CNNs in PyTorch.zip
461.8 MB
12. Building CNNs in PyTorch
13. Building CNNs in TensorFlow with Keras.zip
309.2 MB
13. Building CNNs in TensorFlow with Keras
14. Assessing Model Performance.zip
342.8 MB
14. Assessing Model Performance
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15. Improving Models and Advanced CNN Design - Part 01.zip
399.2 MB
15. Improving Models and Advanced CNN Design - Part 01
15. Improving Models and Advanced CNN Design - Part 02.zip
107.4 MB
15. Improving Models and Advanced CNN Design - Part 02
16. Visualizing What CNN's Learn.zip
462.8 MB
16. Visualizing What CNN's Learn
17. Advamced Convolutional Neural Networks.zip
281.4 MB
17. Advamced Convolutional Neural Networks
18_Building_and_Loading_Advanced_CNN_Archiectures_and_Rank_N_Accuracy.zip
413.5 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy - Part 01
18_Building_and_Loading_Advanced_CNN_Archiectures_and_Rank_N_Accuracy.zip
152.7 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy - Part 02
19. Using Callbacks in Keras and PyTorch.zip
243.6 MB
19. Using Callbacks in Keras and PyTorch
20. PyTorch Lightning.zip
339.9 MB
20. PyTorch Lightning
21. Transfer Learning and Fine Tuning - Part 01.zip
462.3 MB
21. Transfer Learning and Fine Tuning - Part 01
21. Transfer Learning and Fine Tuning - Part 02.zip
102.7 MB
21. Transfer Learning and Fine Tuning - Part 02
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22. Google DeepStream and Neural Style Transfer.zip
416.5 MB
22. Google DeepStream and Neural Style Transfer
23. Autoencoders.zip
170.1 MB
23. Autoencoders
24. Generative Adversarial Networks (GANs) - Part 01.zip
419.1 MB
24. Generative Adversarial Networks (GANs) - Part 01
24. Generative Adversarial Networks (GANs) - Part 02.zip
167.5 MB
24. Generative Adversarial Networks (GANs) - Part 02
25. Siamese Network.zip
181.1 MB
25. Siamese Network
26_Face_Recognition_Age,_Gender,_Emotion_and_Ethnicity_with_Deep.zip
349.8 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning
27. Object Detection.zip
269.4 MB
27. Object Detection
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2.zip
180.7 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2
29. Gun Detector - Scaled-YoloV4.zip
127.8 MB
29. Gun Detector - Scaled-YoloV4
30. Mask Detector TFODAPI MobileNetV2_SSD.zip
80.7 MB
30. Mask Detector TFODAPI MobileNetV2_SSD
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