Before Deep Learning: A Journey Into The Pre-2000 Era Of Neural Networks

This article explores the origins and advancements of deep learning, from the pioneering work of Frank Rosenblatt in the mid-20th century to the emergence of convolutional neural networks (CNNs) in the 1990s. It highlights the challenges faced due to the limitations of computational power and data availability, and the breakthrough of the backpropagation algorithm which allowed networks to learn and adjust their weights.