1. Artificial Neural Networks. Perceptron
2. Multilayer Perceptron. Backpropagation.
3. Convolutional Neural Networks
4. 1D Convolutional Neural Networks
5. Deep Autoencoders
6. Attention and Transformer Networks
7. Recurrent Neural Networks. LSTMs
8. Deep Object Detection
9. Special topics in Object Detection
10. Few-Shot Object Recognition
11. Deep Semantic Image Segmentation
12. Adversarial Machine Learning
13. Generative Adversarial Networks in Multimedia Creation
14. Mathematical Brain Modeling

Machine Learning  (12 Lectures), http://icarus.csd.auth.gr/machine-learning-web-module/

1)      Introduction to Machine Learning

2)      Data Clustering

3)      Distance-based Classification

4)      Decision Surfaces. Support Vector Machines

5)      Label Propagation

6)      Dimensionality Reduction

7)      Graph-based Dimensionality Reduction

8)      Kernel Methods

9)      Bayesian Learning

10)   Parameter Estimation

11)   Hypothesis Testing

12)   Syntactic Pattern Recognition

Around 50% of the lectures provide free access to the full lecture pdf!

You can find sample Web e-Course Module material to make up your mind and/or can perform CVML Web e-Course registration in:

http://icarus.csd.auth.gr/cvml-web-lecture-series/

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

More information on this Web e-course: This Web e-Course Computer Vision material that can cover a semester course, but you can master it in approximately 1 month.

Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy.

CVML Web e-Course Module materials typically consist of: a) a lecture pdf/ppt, b) lecture self-assessment understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures)  and overall course module satisfaction questionnaire.

Asynchronous tutor support will be provided in case of questions.

Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants.

More information on other CVML Web e-course: Several other Web e-Course Modules are  offered on Deep Learning, Computer Vision, Autonomous Systems, Signal/Image/Video Processing, Human-centered Computing, Social Media, Mathematical Foundations, CVML SW tools.

See: http://icarus.csd.auth.gr/cvml-web-lecture-series/