/schoolofAI_enschede

Lecture notes and code

Primary LanguageJupyter Notebook

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

Lecture 3

Slides:
December 2018, Enschede The Netherlands

  • Pytorch for machine learning, by Cesare Montresor
  • Generative adversarial networks (GANs), by Beril Sirmacek

Lecture 3 Videos
Trailer: https://youtu.be/5jKTXyVTfRs
Full presentations:
Part 1: https://youtu.be/pPv9poXNi6Y (Pytorch for machine learning by Cesare Montresor)
Part 2: https://youtu.be/G44ePVy48F8 (Quiz and the book give away session)
Part 3: https://youtu.be/_MkV_NgOGM4 (GANs by Beril Sirmacek)
Part 4: https://youtu.be/qQUhnFSV4O4 (Classification with Keras Video 1 by Ernests Elksnis) https://youtu.be/T9-ww-p93PI (Classification with Keras Video 2 by Ernests Elksnis)

Lecture 4

Slides:
January 2019, Enschede The Netherlands

  • House price prediction, regression, RNN, LSTM, by Beril Sirmacek

Lecture 4 Videos
Trailer: https://youtu.be/Os86WOxSf9c
Full Presentations:
Memory in AI, by Ernests Elksnis: https://youtu.be/_gSQnRVQZ_k
House price prediction, regression, RNN, LSTM, by Beril Sirmacek: https://youtu.be/YdQB63-AaZ8
Quiz and book give away: https://youtu.be/LwhHrGXM5p8

Source code:
Jupyter notebooks on linear regression, polynomial regression, LSTM and autoencoder

Lecture 5

Slides:
February 7th 2019, Enschede The Netherlands

  • Segmentation: FCN and U-Nets, by Beril Sirmacek
  • Quiz questions

Lecture 5 Videos
Trailer: https://youtu.be/sXN02sYHusc
Full Presentations:
Segmentation: FCN and U-Nets, by Beril Sirmacek: https://youtu.be/RTRm-PIi9L0
Adanet, self adaptive nets, by Ernests Elksnis: https://youtu.be/AwaYh5_DZRE
Machine Learning and Face Recognition Apps, by Gant Laborde: https://youtu.be/2FALkyQ_9Pk
Quiz and book give away: https://youtu.be/FUMGBaddcPw

Lecture 6

Slides:
March 6th 2019, Enschede The Netherlands

  • AI in healthcare, by Beril Sirmacek
  • Using AutoML and 3rd party API's at AI developments, by Ernests Elksnis
  • Deep Reinforcement Learning, by Beril Sirmacek
  • Quiz questions

Lecture 6 Videos
Trailer: https://youtu.be/hxaSLN-hmPM
Full Presentations:
Deep reinforcement learning, by Beril Sirmacek: https://youtu.be/8bbAdh7Fi6k
AI in Healthcare, by Beril Sirmacek: https://youtu.be/K-LTOjCDfBE
AI Quiz, by Beril Sirmacek: https://youtu.be/7ZQAOQOgL_o
AutoML and building AI apps, by Ernests Elksnis: https://youtu.be/Rt07osarVGM

Lecture 7

April 4th 2019, Enschede The Netherlands
Jupyter notebooks:

  • introduction to python
  • celcius to fahrenheit
  • image classification with CNN

Lecture 7 Videos
Trailer: https://youtu.be/8XYMvU4dZM0
Full Presentations:
Natural Language Processing (NLP), by Marco Bonzanini: https://youtu.be/WLLBh8m5-c4
Google Colab Jump Start, by Beril Sirmacek: https://youtu.be/b-cDKMLQiBo
Public AI Quiz, by Ernests Elksnis: https://youtu.be/A9TeCgu8nMM

Lecture 8

May 2nd 2019, Enschede The Netherlands
Lecture 8 Videos:
Trailer: https://youtu.be/pKVjfvVf5kk
Guest speaker Kushal Sharma on how to land on an AI career: https://youtu.be/CG3kztCCpC8
Ernests Elksnis on how neural nets are attacked: https://youtu.be/wG27yPKeY-g

Lecture 9

June 6th 2019, Saxion University of Applied Sciences, Enschede, The Netherlands
Lecture 9 Videos:
Trailer: https://youtu.be/wO167RWIAfQ
Wilco Bonestroo "Fundamentals of Artificial Neural Networks (1 of 3)" https://youtu.be/NOWh0SunMiY
Miroslav Klivansky "High-performance Input Pipelines for Scalable Deep Learning" https://youtu.be/smnshI7ol68
Wilder Rodrigues "Improving machine learning workflows" https://youtu.be/7dojLrDO4vs

Lecture 10

July 4th 2019, Saxion University of Applied Sciences, Enschede, The Netherlands
Lecture 10 Videos:
Trailer: https://youtu.be/_lRyt-lPqtM
Nicolò Botteghi "Reinforcement Learning" https://youtu.be/9y2f-g0H3Eg
Beril Sirmacek "Building AI services" https://youtu.be/HGglOza7fcM
Vibhav Tiwari "Story of AI" https://youtu.be/z-ZpgtJOlU8

Lecture 11

August 5th, 2019 we held our lecture at the University of Twente in Enschede.
Lecture 11 Videos:
Trailer video: https://youtu.be/6roDKY-4UHQ
Armin KASSEMI LANGROODI "Reinforcement Learning" https://youtu.be/YlDMsB6OqII
Beril Sirmacek "SLAM and AI for Robotics" https://youtu.be/xdCEuOMPgiw
Ernests Elksnis "Face Recognition" https://youtu.be/MYiNTeeL0xA

Lecture 12

September 5th, 2019 we held our lecture at the Saxion University of Applied Sciences in Enschede.
Lecture 12 Videos:
Trailer video: https://youtu.be/iz1B4IfY0D0
Wilco Bonestroo "Fundamentals of Artificial Neural Networks (2 of 3)": https://youtu.be/HZoLVRMR3qA
Beril Sirmacek "Thermal camera applications and AI": https://youtu.be/RhEh2_Z3EXo
Shashwat Shukla "Networking with the moon": https://youtu.be/fMSOcUWdPPA

Lecture 13

October 3rd 2019, we held our lecture at the Saxion University of Applied Sciences in Enschede.
Lecture 13 Videos:
Trailer video: https://youtu.be/VcevIKkVHLk
Wilco Bonestroo "Fundamentals of AI Lecture 3 of 3": https://youtu.be/az7xGi5tF-U
Beril Sirmacek "Explainable AI and Interpretibility": https://youtu.be/IZsBNgnZEqk

Lecture 14

November 7th 2019, we held our lecture at the Saxion University of Applied Sciences in Enschede.
Lecture 14 Videos:
Trailer video: https://youtu.be/Ci05-_I6xwU
Asst. Prof. Dr. Jan van Rijn, from Leiden University introduced OpenML;
Part-1: https://youtu.be/ICfe5NAg-5o Part-2: https://youtu.be/2dqb4VV9QXY

Lecture 15

December 12nd 2019, we held our lecture at the Saxion University of Applied Sciences in Enschede.
Lecture 15 Videos:
Trailer video: https://youtu.be/xyWDaJ2izMI
Vasos Arnaoutis "Machine learning for everyone" https://youtu.be/L4nbEqkI4TE
Beril Sirmacek "Google Colab with your data" https://youtu.be/irC-JUV5fKs