https://www.coursera.org/specializations/deep-learning\ The five sub-courses:
@Course 1:Neural Networks and Deep Learning: 1.1)Week 1:Introduction to deep learning 1.2)Week 2:Neural Networks Basics 1.3)Week 3:Shallow neural networks 1.4)Week 4:Deep Neural Networks 1.5)summary notes
@Course 2:Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 2.1)Week 1:Practical aspects of Deep Learning 2.2)Week 2:Optimization algorithms 2.3)Week 3:Hyperparameter tuning, Batch Normalization and Programming FrameworksIntroduction to deep learning 2.4)summary notes
@Course 3:Structuring Machine Learning Projects 3.1)week 1:ML Strategy (1) 3.2)week 2:ML Strategy (2) 3.3)summary notes
@Course 4:Convolutional Neural Networks 4.1)week 1:Foundations of Convolutional Neural Networks 4.2)week 2:Deep convolutional models: case studies 4.3)week 3:Object detection 4.4)week 4:Special applications: Face recognition & Neural style transfer 4.5)summary notes
@Course 5:Sequence Models 5.1)week 1:Recurrent Neural Networks 5.2)week 2:Natural Language Processing & Word Embeddings 5.3)week 3:Sequence models & Attention mechanism 5.4)summary notes