Deep Learning Architectures for Image Recognition and Natural Language Processing

Deep learning has emerged as a revolutionary power in image identification and natural language processing (NLP) in recent years. Deep learning architectures have driven substantial progress in these two fields, which formerly required labor-intensive feature engineering and domain-specific knowledge. By allowing models to acquire hierarchical representations of data autonomously, deep learning has expanded the possibilities […]