Deep Learning Specification Courses Project on Coursera. Certification gained.

• Week1 - Introduction to deep learning
• Week2 - Neural Networks Basics
• Week3 - Shallow Neural Networks
• Week4 - Deep Neural Networks

• Week1 - Practical aspects of Deep Learning
• Week2 - Optimization algorithms
• Week3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks

• Week1 - ML Strategy (1) - Setting up your goal - Comparing to human-level performance
• Week2 - ML Strategy (2) - Error Analysis - Mismatched training and dev/test set - Learning from multiple tasks - End-to-end deep learning

• Week1 - Foundations of Convolutional Neural Networks
• Week2 - Deep convolutional models: case studies
• Week3 - Object detection - Papers for read: You Only Look Once: Unified, Real-Time Object Detection, YOLO
• Week4 - Special applications: Face recognition & Neural style transfer - Papers for read: DeepFace, FaceNet

• Week1 - Recurrent Neural Networks
• Week2 - Natural Language Processing & Word Embeddings
• Week3 - Sequence models & Attention mechanism