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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)
- Math and Logic (4)
- Artificial Intelligence (4)
- Algorithms (4)
Introduction to Triplet Loss
Filed under Machine Learning
Learn about the triplet loss function.
How Do Eigenfaces Work?
Filed under Computer Vision
Learn about the method of eigenfaces.
Recurrent Neural Networks
Filed under Deep Learning
Learn about Recurrent Neural Networks (RNNs).
What Is Cosine Similarity?
Filed under Math and Logic
Explore cosine similarity and its applications.
Optimization: Gradient-Based Algorithms
Filed under Algorithms
Learn about gradient-based algorithms in optimization.
Introduction to Inception Networks
Filed under Artificial Intelligence
Explore the concept of Inception Networks.
Residual Networks
Filed under Computer Vision
Learn about the Residual Networks.
Optimization: Local vs. Global Optima
Filed under Math and Logic
Learn about the global and local optima.