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Train Faster, Smarter, Better – On Techniques for Training Neural Network Models

Commonly used neural network training optimisation techniques: Transfer Learning, Domain Adaptation and Data Augmentation.

How to Hack, How to Improve a Neural Network?

Active learning as a way to effectively reduce the cost and time required to label training data for neural networks.

Neural Networks Through Magnifying Glass

Neural networks- learn the details of their training, from activation functions to back propagation.

Artificial Neural Networks: how to train them?

Artificial neural networks - discover the stages of their training, starting with the data, through the learning process to testing the model.

Neural networks – introduction

Discover the depths of deep learning with us! In this article, you will learn what secrets neural networks hide.

Neural Networks Training with Limited Resources

Neural networks and their training on graphics processing units (GPUs). Learn why GPUs are becoming a popular choice.

Machine Learning – Part 3: Data Representation Methods

Several widely used data representation methods - how to effectively transfer data to the data processing algorithm.

Machine Learning – Part 2: Different Approaches

About the approaches used in this field, their advantages and disadvantages, as well as possible applications of some algorithms.

Machine Learning – Part 1: Is It Worth It?

Machine learning is a field that is developing at an incredible pace and is penetrating virtually all sectors of the economy.