Lecture notes and code
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Lecture1 Jupyter notebooks of the first and the second lecture exercises Nov 13, 2018
Lecture2
README.md

README.md

schoolofAI_enschede

Lecture notes and code

Lecture 1

Slides:
October 2018, Enschede The Netherlands
Presenter: Beril Sirmacek
Topics: AI basics, deep learning, transferlearning, learning from scratch, different platforms, installing libraries, getting started with coding.

Lecture 1 Videos
Trailer: https://youtu.be/LTGwsjYt-rw
Full presentations:
Part 1: https://youtu.be/XKNFeXjEU38
Part 2: https://youtu.be/eB0mzoVgXn0
Part 3: https://youtu.be/RPrKdy3fNtk

Source code:
Linear regression example in the jupyter notebook

Lecture 2

Slides:
November 2018, Enschede The Netherlands
Presenter: Beril Sirmacek

Lecture 2 Videos
Trailer: https://youtu.be/8qrrgq0qQFM
Full presentations:
Part 1: https://youtu.be/XboAU9vFp5A (Ernests's presentation, NLP, chatbots)
Part 2: https://youtu.be/XEumFvSrCOg (Beril's presentation, autoencoders, tensorflow begining)
Part 3: https://youtu.be/n9-aQ-R4q2I (Beril's presentation, tensorboard, music ai, facebook reinforcement learning)

Source code:
Creating/printing tensors, observing tensor operations on the tensorboard in the jupyter notebook