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- 10. Data Augmentation Cats vs Dogs
- 10. Data Augmentation
- 11. Assessing Model Performance
- 11. Confusion Matrix and Viewing Misclassifications
- 12. Optimizers, Adaptive Learning Rate & Callbacks
- 12. Optimizers, Learning Rates & Callbacks with Fruit Classification
- 13. Batch Normalization & LeNet, AlexNet Clothing Classifier
- 13. Building LeNet and AlexNet in Keras
- 14. Advanced Image Classiers - ImageNet in Keras (VGG1619, InceptionV3, ResNet50)
- 14. ImageNet and Pretrained Models VGG16_ResNet50_InceptionV3
- 15. Transfer Learning & Fine Tuning
- 15. Transfer Learning Build a Flower & Monkey Breed Classifier
- 16. Design Your Own CNN - LittleVGG A Simpsons Classifier
- 16. Design Your Own CNN - LittleVGG
- 17. Advanced Activation Functions & Initializations
- 18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition
- 18. Facial Applications - Emotion, Age & Gender Recognition
- 19. Medical Imaging - Image Segmentation with U-Net
- 19. Medical Imaging Segmentation using U-Net
- 20. Principles of Object Detection
- 21. TensforFlow Object Detection
- 21. TensorFlow Object Detection API
- 22. Object Detection with YOLO & Darkflow Build a London Underground Sign Detector
- 22. Object Detection with YOLO v3 and DarkFlow
- 23. DeepDream & Neural Style Transfers Make AI Generated Art
- 23. DeepDream & Neural Style Transfers
- 24. GANS_Generative_Networks
- 24. Generative Adversarial Networks (GANs) Simulate Aging Faces
- 25. Face Recognition with VGGFace
- 25. Face Recognition
- 26. Credit Card
- 26. The Computer Vision World
- 27. BONUS - Build a Credit Card Number Reader
- 28. BONUS - Use Cloud GPUs on PaperSpace
- 29. BONUS - Create a Computer Vision API & Web App Using Flask and AWS
- 3. Installation Guide
- 4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo
- 4. Handwriting Recognition
- 5. OpenCV Tutorial - Learn Classic Computer Vision & Face Detection (OPTIONAL)
- 6. Neural Networks Explained
- 7. Convolutional Neural Networks (CNNs) Explained
- 8. Build CNNs in Python using Keras
- 8. Making a CNN in Keras
- 9. Visualizing What CNNs 'see' & Filter Visualization
- 9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps
- Module 6 Machine Learning Real-World Case Studies
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