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It’s Here: My First Premium Notebook Series Is Live!
Now available: My first premium notebook series: “Anomaly Detection: From Exploration to Deployment”! Follow my journey through real-world anomaly detection using the AITEX fabric dataset. I explored and compared VAEs, PatchCore, and DRAEM and built a complete pipeline, from evaluation to operationalization. 👉 Grab it now in the shop
The End of My Profession: A Software Engineer Speaks Out
I’ve been a software developer for over 20 years. Today, I see my profession slowly disappearing. In this deeply personal article, I reflect on how AI systems like GitHub Copilot are not just assisting developers – but replacing them. What remains for us in a world run by autonomous agents?
The Strange Magic Behind LLMs and the Illusion of Thinking
Why do large language models feel so human to talk to? This post explores the statistical foundations of LLMs, the illusion of thought, and what this might reveal about human cognition, consciousness, and the nature of thinking itself.
Introduction to Neural Network Architecture
Neural network architecture isn’t just about stacking layers. It’s about understanding the hidden structure of information and designing systems that can reveal it. From simple perceptrons to attention-driven transformers, every innovation has been a step toward making machines see, understand, and reason more like us.
Understanding L1 Regularization: Why It Leads to Sparse Models
In machine learning, complex models often risk overfitting, capturing noise instead of patterns. L1 regularization offers an elegant solution: by penalizing the absolute value of model weights, it not only reduces overfitting but also tends to zero out irrelevant features entirely. This leads to simpler, more interpretable models, especially powerful in high-dimensional spaces. In this…
Spatial Resolution vs. Channel Depth in Anomaly Detection
Are more channels always better? Not if you’re missing the fine print. In this post, we explore the tradeoff between spatial resolution and channel depth in CNN feature extractors — and why it matters for detecting subtle defects in texture-heavy datasets like AITEX. Learn how anomalies can disappear in deep layers, and what it really…