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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
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