AI Geek Programmer Blog

Machine learning, computer vision, deep learning and artificial intelligence engineering.

A neural network works by taking raw data and passing it through layers that each do one small job.

AI systems require specialized software development skills. A model is only one part of the system.

Detecting artificial intelligence means looking for signs that a model created or changed content.

Michael Nielsen’s Neural Networks and Deep Learning does explain deep learning, and it does it in a plain way that still respects the math.

What does it mean for a system to learn instead of being hand-coded? That is the real question behind machine learning.

AI systems require continuous health monitoring because their world changes after launch. The code may stay the same. The data may not.

I keep coming back to one plain fact: AI systems are not safe by default. They touch data, tools, prompts, memory, and services.

Deep learning uses neural networks to process data. That is the clean answer, and it is the one that matters first.