What is the Layer Architecture of Transformers?

The transformer architecture revolutionized the field of deep learning when it was introduced in the seminal 2017 paper “Attention Is All You Need.” Understanding the layer architecture of transformers is essential for anyone working with modern natural language processing, computer vision, or any domain where these models have become dominant. At its core, the transformer’s … Read more

How to Decide the Number of Hidden Layers in a Neural Network

Neural networks have become the backbone of modern artificial intelligence, enabling breakthroughs in image recognition, natural language processing, and many other applications. One of the key design choices when building a neural network is determining the number of hidden layers. The structure of a neural network, including its depth (number of layers) and width (neurons … Read more