Data science
Boost neural network training speed and accuracy with Luxoft’s expertise in model optimization. We’ll analyze your neural network’s architecture and dataset and provide you with actionable recommendations on how to refine both.
Technologies
ML Infrastructure
Web development
AMD Artists Team
Unreal Engine
Shaders
Autoencoder
DBSCAN algorithm
Embedding algorithm
Clustering algorithm
dlib algorithms
ML Infrastructure
Web development
AMD Artists Team
Unreal Engine
Shaders
Autoencoder
DBSCAN algorithm
Embedding algorithm
Clustering algorithm
dlib algorithms
case study
Training with Synthetic Data
Improving the neural network by adding synthetic data to the training dataset. Identifying weaknesses in a Machine Learning Model.
case study
Synthetic data generation. Dataset creation
The purpose of this research is to enhance super-resolution (upscale) quality for characters and numbers in games.
case study
Smart Dataset Merging
Algorithm for merging data sets with data repetition checking.
