Welcome to Beril's AI blog
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full lecture videos:
Vasos Arnaoutis "Machine learning for everyone"
Beril Sirmacek "Google Colab with your data"
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Asst. Prof. Dr. Jan van Rijn, from Leiden University introduced OpenML:
PART 1 Open ML
PART 2 Open ML
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Wilco Bonestroo "Fundamentals of AI Lecture 3 of 3"
Beril Sirmacek "Explainable AI and Interpretibility "
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Shashwat Shukla "Networking with the moon"
Wilco Bonestroo "Fundamentals of AI Lecture 2 of 3"
Beril Sirmacek "Thermal camera applications and AI"
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Armin KASSEMI LANGROODI "Reinforcement Learning"
Beril Sirmacek "SLAM and AI for Robotics"
Ernests Elksnis "Face Recognition"
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Nicolò Botteghi "Reinforcement Learning"
Beril Sirmacek "Building AI services"
Vibhav Tiwari "Story of AI"
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Wilco Bonestroo "Fundamentals of Artificial Neural Networks"
Miroslav Klivansky "High-performance Input Pipelines for Scalable Deep Learning"
Wilder Rodrigues "Improving machine learning workflows"
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Guest speaker Kushal Sharma on how to land on an AI career
How neural nets are attacked, by Ernests Elksnis
Jupyter notebooks and the slides of our meet ups:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Natural Language Processing (NLP), by Marco Bonzanini
Google Colab Jump Start, by Beril Sirmacek
Public AI Quiz, by Ernests Elksnis
Jupyter notebooks and the slides of this meet up:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Deep reinforcement learning, by Beril Sirmacek
AI in Healthcare, by Beril Sirmacek
AI Quiz, by Beril Sirmacek
AutoML and building AI apps, by Ernest Elksnis
Jupyter notebooks and the slides of this meet up:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Segmentation: FCN and U-Nets, by Beril Sirmacek
Adanet, self adaptive nets, by Ernests Elksnis
Machine Learning and Face Recognition Apps, by Gant Laborde
Quiz and book give away
Jupyter notebooks and the slides of this meet up:
Find them on this GitHub repository >>
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Memory in AI, by Ernests Elksnis
House price prediction, regression, RNN, LSTM by Beril Sirmacek
Quiz and book give away
Jupyter notebooks and the slides of this meet up:
Find them on this GitHub repository >>
Our third meet up hosted a guest lecturer (Cesare Montresor) from Italy and we have broadcasted our event LIVE in order to get questions from all around the world!
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Machine Learning with Pytorch by Cesare Montresor
CNN with Keras 1
CNN with Keras 2
Introduction to GANs
Quiz and book giveaways
Sources and the slides of this meet up:
Find them on this GitHub repository >>
Our second meet up was again at the awesome location the Cee Spot in Enschede The Netherlands. Our lecture started with Ernests Elksnis's chatbot and NLP presentation. Then, I have presented my lecture on: feature extraction, feature reduction, autoencoders, tensorflow sessions, tensorboard and discussion on AI music.
Videos of our second meet up is again on my YouTube channel:
Trailer:
Trailer video
Full presentations:
Part 1 (Ernests's presentation, NLP, chatbots)
Part 2 (Beril's presentation, autoencoders, tensorflow begining)
Part 3 (Beril's presentation, tensorboard, music ai, facebook reinforcement learning)
Sources and the slides of this meet up:
Find them on this GitHub repository >>
The first meet up was at the Cee Spot in Enschede The Netherlands. Our lecture started with Ernests Elksnis's AI introduction. Then, I have presented my lecture on: AI basics, deep learning, transferlearning, learning from scratch, different platforms, installing libraries, getting started with coding.
Videos of the first meet up:
Trailer:
Trailer video
Full presentations:
Part 1
Part 2
Part 3
Sources and the slides of the first meet up:
Find them on this GitHub repository >>
1. Class - A School of AI class involves up to 3 speakers educating an audience on a particular AI topic (library, algorithm, concept, ethics, etc.)
2. Study Group - A School of AI Study Group involves having an engaging group conversation on a particular AI research paper.These are open-ended sessions that involve asking any questions you have about the paper and discussing the merits of different algorithmic approaches.
3. Hands-on Workshop - A hands-on workshop involves coding. Students are asked to bring their laptops as they will be following along as the presenter guides them through a particular application of AI.
4. Hackathon - Hackathons are events that are up to 24 hours in length that involve students creating an AI application that relates to a specific topic. These topics can be as open-ended (Code an AI app!) or specific (Use PyTorch to create a price prediction app).
I am an AI & AR scientist.
With our monthly AI meet ups we offer free AI lectures for everyone. We invite guest lecturers from different fields. Some of our lectures are showing AI applications, some of them are teaching theory and some of them are helping with implementing hands-on programming examples. We meet in Enschede in the Netherlands, however we offer our lectures worldwide on YouTube. Our purpose is to create a community of AI enthusiasts and to learn/think/discuss how to create good for humanity and for the planet using AI.
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