deep learning
-
Understanding Backpropagation: A Comprehensive Guide to Neural Network Learning
Introduction Backpropagation is a fundamental algorithm in the training of neural networks, enabling these complex systems to learn from data and improve their performance over time. This guide aims to demystify the backpropagation process, explaining its core concepts and significance in machine learning. The Objective of Neural Networks The primary goal of a neural network Continue reading
-
Understanding Self-Attention Mechanism in AI: A Deep Dive with PyTorch
In the world of artificial intelligence and deep learning, the self-attention mechanism has revolutionized how we process sequential data, particularly in natural language processing tasks. This blog post will explore the self-attention mechanism, implement it using PyTorch, and discuss its applications and benefits 📘 What is Self-Attention? Self-attention, also known as intra-attention, is a mechanism Continue reading
Think like a butterfly 