I write about AI, Machine Learning, and Deep Learning in an easy-to-understand way.

— 12 Feb 2025

Local Minima in Deep Learning: Why Your ANN is Stuck (and How to Fix It!)

Local minima can trap your neural network, causing training to stall. In this post, we’ll break down what local minima are, how to detect them, and practical ways to escape using PyTorch, NumPy, and smart optimization techniques

— 11 Feb 2025

Finding Minima and Maxima Using Derivatives in Python (NumPy & PyTorch)

Learn how to find minima and maxima of functions using derivatives in Python with NumPy and PyTorch.

— 6 Feb 2025

Entropy: Measuring Uncertainty in Data

Entropy quantifies randomness or uncertainty in a system. Used in information theory, ML, and decision trees, it helps us understand how unpredictable data is!

— 5 Feb 2025

The role of logarithms in deep-learning why and how they matter

Logarithm functions play a crucial role in deep learning, from stabilizing computations to improving model efficiency. In this post, I’ll break down why log functions are essential and how they’re applied in real-world deep learning scenarios.

— 27 Jan 2025

Derivatives for Deep-Learning without math

A comprehensive introduction to NumPy