Deep Learning Applications

Collection of projects of four different Deep Learning areas for Deep Learning Application exam

📝 Table of Contents

Title	Dataset	Description	Status
Working with Deep Models	MNIST, CIFAR-10	Image classification using residual CNNs, Object localization and Class Activation Maps	✅
Natural Language Processing	SWAG, RACE	Hands-on introduction to GPT, 🤗 for text generation, classification and Multiple Choice Question Answering (MCQA)	✅
Reinforcement Learning			⌛
Adversarial Training	CIFAR-10, CIFAR-100	OOD Detection, Adversarial-augmented training	✅