Feedforward Neural Networks - Blog Post | Dave Bullock / eecue

> **_NOTE:_** This post is part of my [Machine Learning Series](https://eecue.com/blog/machine-learning-series---exploring-the-world-of-ai-ml) where I’m discussing how AI/ML works and how it has evolved over the last few decades. Feedforward Neural Networks (FNNs), also known as Multi-Layer Perceptrons (MLPs), are one of the most fundamental and widely-used neural network architectures in machine learning. FNNs have been employed for a variety of tasks, including classification, regression, and feature extraction. In this post, we'll explore the architecture, training process, and applications of FNNs.