In the ever-evolving landscape of machine learning, a new paradigm often emerges that challenges conventional approaches and paves the way for breakthroughs. The Perceiver model is one such paradigm-shifting advancement, pushing the boundaries of image classification through its innovative General Perception with Iterative Attention framework. In this blog post, we'll dive deep into the Perceiver model, unraveling its technical intricacies, and understanding how it redefines image classification. Introduction to the Perceiver Model The Perceiver model, introduced by DeepMind in their research paper " Perceiver: General Perception with Iterative Attention, " presents a novel architecture for handling a wide range of sensory data, particularly focusing on image classification. Unlike traditional convolutional neural networks (CNNs) that rely on fixed-size receptive fields and self-attention mechanisms, the Perceiver model takes a more holistic approach by integrating conte