Today I want to tell you something about a great tool that I'm extensively using on a daily basis for a few years now. It's called Docker, and I've already created couple posts about it, but none of them is dedicated to beginners. Time to fix it....
The most common problem when doing deep learning: How can I find enough data to learn my models? Indeed, that's a big problem. Gathering high volume of training data for deep learning purposes is hard. But maybe we can "cheat" a bit? Images Augmentation Let's talk about images. When doing Deep Learning, we want to have as diverse...
Today I'll tell you how to create custom exception handlers in Django. They are useful, if you want to do custom action when Exception is raised from view. For example, you can create consistent way of handling your own generic exception type. It's very easy, but can be super useful! To show how it's working, we'll create helpful handler that...
Today I'll show how you can monitor Redis activity. It's very useful for low-level debugging. Few words about Redis In a single sentence, Redis is an in-memory key-value store. But it's also much more than that - it supports many complex data types and is blazingly fast (can perform milions operations per second). It's mostly used via language wrappers, like...
In this post I'll show how to prepare Docker container able to run already trained Neural Network (NN). It can be helpful if you want to redistribute your work to multiple machines or send it to a client, along with one-line run command. Sample code is using Keras with TensorFlow backend. Prerequisites Already prepared Keras NN. We'll save it to...