On September 8 Nickolay Shmyrev, CEO of Alpha Cephei, held a technical Zoom webinar on “Speech recognition on mobile devices.”
NTR webinar: Speech recognition on mobile devices
Tag Archives: #Neural Networks
NTR webinar: Thermodynamics of Machine Learning
On August 25 Vitaly Vanchurin, Professor of Physics, University of Minnesota, held a technical Zoom webinar on “Thermodynamics of Machine Learning.”
NTR webinar: Transfer of neural nets working with images to mobile devices
On July 21 Sergey Chicherin, Senior Engineer of Samsung AI Center in Moscow, held a technical Zoom webinar on the topic “Transfer of neural networks working with images to mobile devices”.
NTR webinar: Transformers on Zoom
On July 7 Grigory Sapunov, CTO of Intento, held a scientific and technical webinar on Zoom on the topic “Transformers.”
NTR webinar: Spartan training of neural networks on Zoom
On June 30 Egor Shvetsov and Mikhail Pavlukhin led the “Spartan training of neural networks” webinar.
NTR Zoomed a webinar on improving the classification accuracy using Convolutional Neural Networks
On June 2 Ivan Danilovich, machine learning developer at NTR and student of HITs TSU, led the webinar: “Improving the classification accuracy using convolutional neural networks: Contrastive Learning, MixUp, Resolution Alignment”.
Interview: Emrah Gultekin, Co-founder of Chooch
NTR is a software development company and, as such, we tend to hangout with people who are interested in technology. We travel to hotbeds of tech in other countries to attend events and conferences where we get to know representatives of startups and companies.
We thought you would enjoy meeting some of them, too, learn about their experiences and benefit from their insights as we have.
During a trip to Silicon Valley, NTR’s CRO Yana Kazantseva met with Emrah Gultekin, Co-founder and CEO of Chooch, an AI training platform for visual recognition, based in San Francisco.
Continue reading Interview: Emrah Gultekin, Co-founder of Chooch
Share Our TOPs
International Programmers’ Day was last week; today we give a special shout-out to those programmers who developed the apps that allow companies to communicate easily and provide services to clients from around the world.
NTR Lab is one of those companies; we work remotely using multiple technologies to communicate and collaborate with companies in dozens of countries. We also connect with them in person during road trips taken specifically to meet them.
Today we would like to tell more about life of our software development company and present the most popular and interesting stuff happened recently. We prepared list post with our TOPs.
Why Do Neural Networks Need An Activation Function?
by Computer Vision Department of NTRLab
Suppose we are given a set of distinct points P = {(xi, yi) ∈ ℝm ×ℝ}i=1,…,n which we regard as a set of test samples xi ∈ ℝm with known answers yi ∈ ℝ. To avoid non-compactness we may assume that P lie in some compact K, for example, K may be some polytope. Does there exist some continuous function in space of all C(K) continuous functions on K such that its graph is a good approximation for our set P in some sense?
From the approximation theory point of view, a neural network is a family of functions {Fθ, θ ∈ Θ} of some functional class. Each special neural network defines each own family of functions. Some of them might be equivalent in some sense. If we restrict ourselves to only MLP according to the above problem with only one intermediate layer consisting of N elements then the corresponding family of functions will be
Continue reading Why Do Neural Networks Need An Activation Function?