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.
The best practices in programming, a handful of code and the latest trends, tips and innovations in the IT world
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.
Innovation
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.
Innovation
Neural Networks Through Magnifying Glass
Neural networks- learn the details of their training, from activation functions to back propagation.
Innovation
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.
Innovation
Neural networks – introduction
Discover the depths of deep learning with us! In this article, you will learn what secrets neural networks hide.
Innovation
Neural Networks Training with Limited Resources
Neural networks and their training on graphics processing units (GPUs). Learn why GPUs are becoming a popular choice.
InformationInnovation
How to increase operational efficiency in a manufacturing company?
What changes have occurred over the past few years? How do you create value with BPM? How does BPM improve operational efficiency in manufacturing companies?
InnovationManagement
The impact of implementations of IT projects on the company’s production processes
IT project implementation might be challenging. It is important to take into considerations potential impact of the deployment on all business processes.
InnovationStrategy
Trajectories of Technological Development
IT technologies, like other technologies and products of human thought and work, in different periods of their existence have different meanings and value for their users.
Innovation