👉 Layer computing refers to a computational paradigm where data flows through multiple layers of interconnected processing units, each layer performing specific transformations on the input data. These layers are stacked vertically, with each layer building upon the output of the previous one to extract increasingly abstract and complex features from raw input, such as images or text. This hierarchical structure enables deep learning models to learn intricate patterns and representations, making them highly effective for tasks like image recognition, natural language processing, and more. By leveraging the parallel processing capabilities of these layers, layer computing facilitates efficient and scalable training of models, driving advancements in artificial intelligence.
