GitHub - matheus-prandini/MasterDeepLearningComputerVision: Code samples written through Udemy Course: Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
Section 08 - CNN Keras		Section 08 - CNN Keras
Section 09 - Visualizing CNN models		Section 09 - Visualizing CNN models
Section 10 - Data Augmentation		Section 10 - Data Augmentation
Section 11 - Confusion Matrix and Viewing Misclassifications		Section 11 - Confusion Matrix and Viewing Misclassifications
Section 12 - Optimizers, Adaptive Learning Rate & Callbacks		Section 12 - Optimizers, Adaptive Learning Rate & Callbacks
Section 13 - Building LeNet and AlexNet in Keras		Section 13 - Building LeNet and AlexNet in Keras
Section 14 - ImageNet & Experimenting with Pre-Trained Models (VGG16, ResNet50, InceptionV3)		Section 14 - ImageNet & Experimenting with Pre-Trained Models (VGG16, ResNet50, InceptionV3)
Section 15 - Transfer Learning & Fine Tuning		Section 15 - Transfer Learning & Fine Tuning
Section 16 - Design Your Own CNN - LVGG		Section 16 - Design Your Own CNN - LVGG
Section 18 - Deep Surveillance: Build a Face Detector with Emotion, Age and Gender Recognition		Section 18 - Deep Surveillance: Build a Face Detector with Emotion, Age and Gender Recognition
Trained_Models		Trained_Models
.gitignore		.gitignore