Learn about diffusion models.
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Baeldung Author
Panagiotis Antoniadis
I work as a Machine Learning Engineer at DeepLab. My goal is to leverage data and AI to improve people’s lives. To that end, I implement machine learning models for biomedical and neural engineering applications. My experience also includes domains like computer vision and natural language processing.
Here's what I've written (so far):
Baeldung on Computer Science
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- Machine Learning (22)
- Deep Learning (16)
- Computer Vision (11)
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An Introduction to Gemini by Google DeepMind
Filed under Deep Learning
Explore the Gemini model by Google DeepMind.
What Is Hyperspectral Imaging?
Filed under Computer Vision
Learn how hyperspectral imaging works.
An Introduction to Focal Loss
Filed under Machine Learning
Explore focal loss and learn how to use it with imbalanced datasets.
What Is Noise Contrastive Estimation Loss?
Filed under Machine Learning
Explore the NCE loss and how it is used in training probabilistic models.
Neural Networks: Strided Convolutions
Filed under Machine Learning
Explore the concept of strided convolutions in neural networks.
How Does Face Recognition Work?
Filed under Computer Vision
Explore face recognition and its importance in today’s machine-learning era.
Introduction to Landmark Detection
Filed under Computer Vision
Learn about landmark detection.
What Is Neural Style Transfer?
Filed under Machine Learning
Learn about the algorithm of neural style transfer.