AI-ML
Introduction to Large Language Models (LLMs)
A deep dive into how Large Language Models work, from transformers to GPT architecture.
Nov 29, 2025 · 2 min read
Deep-Learning
AI & ML
Mathematics
Information Theory Fundamentals for Deep Learning: Complete Mathematical Guide 2025
Master information theory concepts essential for deep learning: entropy, mutual information, channel …
Jan 26, 2025 · 25 min read
AI-ML
Mathematics
Linear Algebra for Machine Learning: The Complete Beginner's Guide
Master linear algebra fundamentals for machine learning - vectors, matrices, operations, and …
Jan 15, 2025 · 13 min read
AI/ML
Deep Learning
Tensors in Deep Learning: Complete Guide from NumPy to PyTorch & TensorFlow
Master tensors for deep learning with practical examples in NumPy, PyTorch, and TensorFlow. Learn …
Jan 15, 2024 · 19 min read
AI/ML
Deep Learning
Learning Rate Schedules: Warmup, Cosine Annealing, and One-Cycle Policy
Master learning rate scheduling for deep learning. Implement warmup, step decay, cosine annealing, …
Jan 15, 2024 · 13 min read
AI/ML
Deep Learning
Gradient Descent Optimizers: SGD, Adam, RMSprop Complete Comparison
Master gradient descent optimizers with practical examples. Compare SGD, Momentum, Adam, RMSprop, …
Jan 15, 2024 · 15 min read
AI/ML
Deep Learning
Backpropagation Explained: How Neural Networks Actually Learn
Master backpropagation with step-by-step derivations, computational graphs, and practical code …
Jan 15, 2024 · 15 min read
AI/ML
Mathematics
Calculus for Deep Learning: Derivatives, Gradients, and Chain Rule Explained
Master the calculus foundations for deep learning. Learn derivatives, gradients, partial …
Jan 15, 2024 · 15 min read