The detail of the course is published at Deep Learning Foundation Nano degree

Week 1

• Types of Machine Learning and when to use Machine Learning
• Linear regression from scratch

Week 2

• Neural Network Architecture and Types
• Numerical classification from scratch

Week 3

• Cloud Computing and Sentiment Analysis
• Sentiment analysis from scratch and cloud computing detailed instruction

Week 4

• Math Notation and Recommender Systems
• Various math examples and recommender system from scratch

Week 5

• Data preparation (cleaning, regularization, dimensionality reduction)
• Data prep from scratch

Week 6

• Drone Image Tracking
• Image classification from scratch

Week 7

• Prediction
• Stock Prediction from scratch

Week 8

• Art Generation
• Artistic Style transfer from scratch

Week 9

• Music Generation (LSTMs applied to Audio)
• Generating music from scratch

Week 10

• Poetry Generation (LSTMs applied to NLP)
• Text generation from scratch

Week 11

• Language translation (sequence to sequence)
• Language Translation from scratch

Week 12

• Chatbot QA System with Voice
• Chatbot from scratch

Week 13

• Game Bot 2D (reinforcement learning via Monte-Carlo tree search)
• Game bot from scratch

Week 14

• Image Compression
• Autoencoder from scratch

Week 15

• Data Visualization
• Data visualization from scratch

Week 16

• Image Generation
• Generative adversarial network from scratch

Final Week 17

• One-shot Learning (Probabilistic Programming)
• One shot learning from scratch