2017-01-BME444

BME444: Artificial Neural Systems

Announcement:
- 30th Aug 2017 : Class started

Course syllabus:
- BME444 Course Syllabus

Learning preparation:
- none

Course resources:
- Ebooks: main+code, additional1, additional2
- Matlab Essential Commands and Learning preparation
- Class00: Course Syllabus
- Class01: Neuron Model and Network Architecture
  Problem1.1, Problem1.2, Problem1.3, Problem1.4
- Class02: Supervised Hebbian Learning on Linear Associator Network & LMS Learning on ADALINE Network
  Problem2.1, Problem2.2, Problem2.3
- Class03: Neuron Network in Practical Development
- Class04: Multilayer Perceptrons and Backpropagation Algorithm
  Problem3.1/1, Problem3.1/2 (Batch), Problem3.1/3, Problem3.2, Problem3.3 , Problem3.4,
  Tool for forward computing ANN
- Class05: Case Studies
  o Case1: Ball Position (Data input, Training data)
  o Case2: Classification by ECG (Data input, Training data)
- Class06: Neuron Network in Practical Development
- Class07: Deep Learning
  o Workshop (model images)


Assignments:
- Database description
- Database (small version)

Marks:
- Mid-term exam's result
- Grade (0.5 extra marks are added to everyone)
- Course feedback (New!)

Last update: 3rd Jan 2018 11.57