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About This Blog
Where I share research notes, experiment logs, and the things I learn along the way. Opening the blog with a first post.
What Is a Tensor? Linear Algebra for Deep Learning
Scalars, vectors, matrices, tensors — and why every deep learning framework is really just moving numbers through shapes. A from-scratch intuition.
Attention, Explained from Scratch
The mechanism behind every transformer — queries, keys, and values — built up from a single intuitive question: which other words should I look at?
How Gradient Descent Actually Works
The optimization loop behind every trained model, explained with one hill, one ball, and a few lines of code — no calculus prerequisites required.
Why Identity-Aware Negative Sampling Matters
How the choice of in-batch negatives affects multimodal deepfake detection, and the improvement we saw with identity-grouped sampling.
About the author
Alper Göçen
Author & maintainer
I'm a software engineer and AI researcher pursuing a PhD in deep learning. I believe knowledge grows when you give it away — so I write and teach for free, sharing experiments, intuitions, and the messy details papers tend to leave out.