Artificial Intelligence: Convolutional Neural Networks and Computer Vision

Introduction

What this guide covers

Introduction // Artificial Intelligence · Advanced Computer Vision

Overview

Topics covered

• Introduction
• Convolutional Neural Networks and Induction of Visual Representations
• Matrix Representation of Images, Sampling and Quantization
• Spatial Sampling
• Amplitude Quantization (Quantization)
• Statistical Analysis by Histogram

Related concepts

Main connections

• Calculus & differentiation
• Neural networks & deep learning
• Mean & expected value
• Variance & standard deviation
• Self-attention & Transformer architectures
• Supervised machine learning

Compatible notation

Mathematical sample in LaTeX

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