AI Geek Programmer Blog
Machine learning, computer vision, deep learning and artificial intelligence engineering.
Apple's Neural Network Models Feature 2.2-3 Layer Architectures
- AI Geek Programmer
- 21 August 2026
What does it mean when a neural network has only 2.2 to 3 layers? This number describes the depth of the model. Depth is a core idea in neural network design.
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Generative AI Explained for Builders
- AI Geek Programmer
- 20 August 2026
Generative AI creates new content instead of just sorting or labeling what already exists. This article explains the core ideas, the main model families, where they get used, and the hard limits that still matter in real systems.
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Deep Learning Sits Inside Machine Learning and AI
- AI Geek Programmer
- 20 August 2026
I keep coming back to one simple fact: AI is the broad label, machine learning is the method that learns from data, and deep learning is a kind of machine...
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What AI Machine Learning Really Means in Practice
- AI Geek Programmer
- 16 August 2026
Answer the question behind the keyword "ai machine learning" directly, for a Machine Learning reader of aigeekprogrammer.com. Explain the key facts plainly and keep the piece focused on this exact question rather than a general overview of the topic.
Read articleSmall Team Ships a New Static Site Toolchain
- AI Geek Programmer
- 15 August 2026
A small team released a new staticsite toolchain this week, aimed at developers who want fast builds without a large framework.
Read articleWhy Static Sites Still Win for Small Blogs
- AI Geek Programmer
- 15 August 2026
I keep coming back to static site generators when a project is small and the content does not change every minute. A static generator builds plain HTML files ahead of time, so the server just hands them out. There is no database query per page view and no serverside template render at request time.
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- machine learning
- artificial intelligence
- deep learning
- shape recognition
- python
- keras
- convolutional neural networks
- numpy
- cifar10
- convnets
- tensorflow
- ai
- overfitting
- anaconda
- mnist
- pytorch
- data augmentation
- development environment
- dropout
- GPU
- nlp
- scikit-learn
- transformer architecture
- batch normalization
- blockchain
- digits dataset
- google colab
- huggingface
- internal covariate shift
- k-nn