E3: Architecting Intelligence - Deep Learning

Architecture and Artificial Intelligence through Deep Learning

Introduction

In the previous episode, I explored the core principles of Machine Learning. Now, I transition to Deep Learning (DL), focusing on Neural Networks, the foundational aspect of DL. Neural Networks are inspired by the human brain's structure, aiding the creation of advanced intelligent systems. This shift to DL represents a deeper exploration into machine intelligence, allowing for more complex data interpretations. As I go into Neural Networks, and later, CNNs and RNNs, let me set the stage for a detailed exploration of DL from an architectural standpoint.

The history of Deep Learning (DL) reflects a gradual evolution of understanding and technological advancements. Here's a concise list of key milestones and notable figures in the field:

1. Origins in Neural Networks: The concept of neural networks dates back to the 1940s. In 1943, Warren McCulloch a…