Advanced Deep Learning

TEACHING UNIT 1. INTRODUCTION TO MACHINE LEARNING Introduction Classification of Machine Learning Algorithms Examples of Machine Learning Differences Between Machine Learning and Deep Learning Types of Machine Learning Algorithms The Future of Machine Learning TEACHING UNIT 2. EXTRACTING STRUCTURE FROM DATA: CLUSTERING Introduction Algorithms TEACHING UNIT 3. RECOMMENDATION SYSTEMS Introduction Collaborative filtering Clustering Hybrid recommendation systems TEACHING UNIT 4. CLASSIFICATION Classifiers Algorithms TEACHING UNIT 5. NEURAL NETWORKS AND DEEP LEARNING Components Learning TEACHING UNIT 6. DECISION SUPPORT SYSTEMS Introduction The Transition from DSS to IDSS Application Cases TEACHING UNIT 7. DEEP LEARNING WITH PYTHON, KERAS, AND TENSORFLOW Deep Learning Deep Learning Environment with Python Machine Learning and Deep Learning TEACHING UNIT 8. NEURAL NETWORKS Neural Networks Deep Networks and Shallow Networks LEARNING UNIT 9. SINGLE-LAYER NETWORKS Single-layer and multilayer perceptrons Perceptron example LEARNING UNIT 10. MULTILAYER NETWORKS Types of deep networks TEACHING UNIT 11. LEARNING STRATEGIES Data Input and Output Training a Neural Network Computational Graphics Implementing a Deep Network The Backpropagation Algorithm Multilayer Deep Neural Networks