Development Neural Networks Architectures with Flat Efficiency

Student: Ryzhikov Artyom

Supervisor: Andrey Ustyuzhanin

Educational Programme: Data Science (Master)

Final Grade: 9

Year of Graduation: 2018

In this diploma, a study to obtain a NN with flat profile of efficiency was performed. The results of the obtained study allowed to obtain a model with significantly more uniform efficiency without with no substantial loss of quality. The results obtained allow further training in physically-interpretable machine learning models and it’s training procedures, uniformly working in different regions of the variables of interest.

Full text (added May 28, 2018)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses