Cloud computing is a major buzzword of the decade I think. Now its pretty common to see AWS or GCP experience as a requirement for a job.

Not a surprise, sure — everyone deploys to the cloud these days. …

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We use modern technologies every day. For better, mostly.

They became essential for us: we’re communicating, commuting, and collaborating by using cutting-edge technologies, consuming powers unthinkable 25 years ago: modern smartphone has peak performance like 10 times better than a supercomputer from the 1990s!

Additional computational power makes further advances…

Every day I build containers locally. Many of us do — Docker is a crucial tool in the developer arsenal these days. However, when you build and maintain 1–2 containers — that’s great, but when you maintain an app built from 10 containers? 15? 20? Each local build, even with…

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Typical ML model training workflow looks fairly standard these days:

  • Prepare data for training and validation
  • Choose architecture for the model
  • Pick initial parameters that make sense
  • Tweak the model and its parameters until you get a result that meets your requirements

Today I’d like to explore the last step…

One year ago I’ve posted an article showing how to build trivial sentence breaker and tokenizer in Java with DeepLearning4J. …

Recently I’ve started looking into computer vision problems, and image denoising/image reconstruction is one of pretty funny problems: it has more than one viable solution. So, I’ve decided to take a stab on it, and build basic image denoiser with neural network.

Luckily, I know that U-net architectures typically serve…

The microservices architecture allows you to do something, that was not really viable, or even previously possible — you can build applications with multiple languages at once — and that’s simply amazing! But what if you are restricted to a certain tech stack and languages? Or what if all you…

Doesn’t matter how many NLP frameworks/libraries/models are available out there, eventually you’ll need a language model that has no .zip made publicly available by some good guys. Just because whole life is a kind of N+1 problem. …

Blockchain is simple, and simplicity makes it useful in various fields. That was the idea i believe. Now i think blockchain failed its mission in this iteration.

Reason is simple: algorithm can’t be a religion, and blockchain definitely looks like a religion now. In search of product/market fit, there were…

This post is a continuation of Performance of our models: parallelism post, and today we’ll talk how hardware properties affect performance of our models, and what we can choose for better perf. …

raver119

Deep Learning Developer.

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