Image Classification using Neural Networks

CONTEXT
This prompt is focused on developing a machine learning model aimed at image classification tasks. The objective is to utilize neural networks for identifying and categorizing images based on labeled datasets.

OBJECTIVE
The goal is to design and implement a predictive modeling approach that accurately classifies images into predefined categories using algorithms and techniques pertinent to neural networks.

FORMAT
The expected outcome is a structured model capable of processing input images, extracting features, and producing outputs that reflect the classification of each image into its corresponding category.

EXAMPLES
Examples may include classifying pictures of animals, identifying handwritten digits, or distinguishing between various types of objects in photographs.