Hi, I'm Dimitar

Advanced practices in software development not only streamline production but also enhance the maintainability and scalability of applications. This blog post delves into constructing a Spring Boot application, utilizing Docker for consistent local environment, Zipkin for tracing, and strategies to achieve 100% code coverage. We’ll explore setting up a feature-based... [Read More]

The Fashion-MNIST is a dataset of Zalando’s article images. It serves as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. This dataset includes 60,000 training examples and 10,000 test examples, each being a 28x28 grayscale image associated with a label from 10 classes. [Read More]

Understanding neural networks is one thing, but seeing them in action is quite another. The MNIST database, a large collection of handwritten digits, is the perfect playground to train and test a neural network for image recognition. In this blog post, we will build upon our previous “Crafting a Neural... [Read More]

In the realm of machine learning and pattern recognition, the MNIST dataset stands as a benchmark for algorithms and methods. It’s akin to the hello world of machine learning for classification tasks. Before delving into the technicalities of multi-class classification, let’s embark on a journey to fully understand the MNIST... [Read More]