Name		Name	Last commit message	Last commit date
parent directory ..
2016-11-tSNE		2016-11-tSNE
2017-01-Word2Vec		2017-01-Word2Vec
2017-03-Introduction-to-DL		2017-03-Introduction-to-DL
2017-03-Restricted-Boltzmann-Machines		2017-03-Restricted-Boltzmann-Machines
2017-06-Introduction-to-Variational-Autoencoders		2017-06-Introduction-to-Variational-Autoencoders
2017-07-Self-normalizing-neural-nets-and-orthogonal-initialization		2017-07-Self-normalizing-neural-nets-and-orthogonal-initialization
2017-09-Poincare-Embeddings		2017-09-Poincare-Embeddings
2017-11-Variational-Inference		2017-11-Variational-Inference
2018-09-Introduction-to-Normalizing-Flows		2018-09-Introduction-to-Normalizing-Flows
2018-10-Normalizing-Flows-NICE-RealNVP-GLOW		2018-10-Normalizing-Flows-NICE-RealNVP-GLOW
2018-12-Improving-DL-with-tricks		2018-12-Improving-DL-with-tricks
2019-03-Neural-Ordinary-Differential-Equations		2019-03-Neural-Ordinary-Differential-Equations
LICENSE		LICENSE
README.md		README.md

README.md

Various seminars on ML/DL

Here is the list of presentations I have pleasure to gave since 2016/2019 at our company:

The list is sorted in the chronological order.
Some of them contains additional materials like simple demos implemented in jupyter notebooks.
They may contain bugs and incorrect implementations etc.
Slides are quite dense in information/equations etc (I like to have all details in the slides), so it is recommended to use Power Paint version (not pdf), since they contain transitions effects, so that one can easily follow the flow.