Neural-networks

Published on
September 5, 2024
LLM Fine-tuning Fundamentals: Understanding the Theory and Practice
LLM Fine-tuning Machine-Learning Transformers Neural-Networks AI
Comprehensive introduction to Large Language Model fine-tuning, covering theoretical foundations, key concepts, and when to choose different fine-tuning approaches for your specific use case.
Published on
August 22, 2023
Batch Normalization: Accelerating Deep Network Training
Deep-Learning Batch-Normalization PyTorch Neural-Networks
Understanding Batch Normalization, one of the most important techniques for training deep neural networks, from theory to implementation.
Published on
July 15, 2023
Deep Learning Optimizers: A Comprehensive Guide to Training Neural Networks
Deep-Learning Optimizers PyTorch Neural-Networks
Exploring the landscape of deep learning optimizers from SGD to Adam and beyond, understanding their mechanics and when to use each one.