no code implementations • 30 Aug 2023 • Marek Rychlik, Bekir Tanriover, Yan Han
This dataset is by far larger than any previously available even in this preliminary phase; and 3) proving that our methods can be extended to all the past OPTN data and future data.
no code implementations • 8 Dec 2020 • Dwight Nwaigwe, Marek Rychlik
If a minimum of the loss function exists and gradient descent is used as the training method, we provide an expression that relates learning rate to the rate of convergence to the minimum.
no code implementations • 8 May 2020 • Marek Rychlik, Dwight Nwaigwe, Yan Han, Dylan Murphy
We report upon the results of a research and prototype building project \emph{Worldly~OCR} dedicated to developing new, more accurate image-to-text conversion software for several languages and writing systems.
no code implementations • 29 Mar 2019 • Marek Rychlik
In the statistics and machine learning community it is known as a multi-class logistic regression neural network.
no code implementations • 23 Jun 2018 • Marek Rychlik
Subsequently we constructed an RNN capable of decoding sequences encoded in this manner.