The Mathematics Behind Neural Networks Detailed Derivation of Key Formulas
Neural networks are the backbone of modern artificial intelligence (AI), powering applications like image recognition, natural language processing, and autonomous vehicles,
Neural Networks
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Introduction to Artificial Neural Networks (ANNs): A Comprehensive Guide
Artificial Neural Networks (ANNs) are one of the most important advancements in the field of machine learning, inspired by the biological neural networks in the human brain.
Understanding Convolutional Neural Networks (CNN) using Python: A Step-by-Step Guide for Image Classification
Convolutional Neural Networks (CNNs) are one of the most powerful tools in deep learning, particularly for tasks related to computer vision.
A Comprehensive List of Image CNN Models: How to Get Started with Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have become the go-to architecture for image-related tasks in deep learning.
Understanding the Layers of Large Language Models (LLMs) and How Data Passes Through Them
Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) are a class of deep learning models that have revolutionized natural language processing (NLP).
Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way
Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way, covering key concepts, types of ML, and model architectures like Transformers, and their applications.
Complete Breakdown of Machine Learning (ML)
Machine Learning
is a vast and intricate field that requires an understanding of key concepts from mathematics, statistics, programming, and data science. Let’s go through everything step-by-step, from the fundamental maths to the essential skills required to build ML models.