Tag: #neural-network
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 2 posts
PyTorch Complete Guide: Zero to Hero — From Tensors to Distributed Training
A comprehensive guide to mastering PyTorch from the basics to advanced techniques. Learn tensor operations, automatic differentiation, CNN/RNN/Transformer implementation, and distributed training with practical examples
2026-03-17 · 21 min read #pytorch#deep-learning#ai#python#neural-networkKAN (Kolmogorov-Arnold Networks) Paper Analysis: Learnable Activation Function Architecture Replacing MLPs
In-depth analysis of the KAN paper. Covers the mathematical background of the Kolmogorov-Arnold representation theorem, B-spline activation functions, accuracy and interpretability comparison with MLPs, and practical imp
2026-03-08 · 38 min read #ai-papers#kan#kolmogorov-arnold#neural-network#mlp