Deep Learning
Deep learning uses multi-layered neural networks to solve complex problems from computer vision to natural language processing. We tested popular deep learning frameworks and model architectures.
Top 10 Applications of Deep Learning in Manufacturing ['25]
Deep learning, a subset of artificial intelligence and machine learning, uses predictive analytics to extract insights, improve productivity, reduce defects and maintenance costs, and accounts for approximately 40% of the annual value generated by all analytics approaches.
Deep Learning in Finance Top 11 Use Cases in '25
Based on our analysis of deep learning applications in finance, we’ve identified 11 key use cases where AI-driven models are making an impact. These examples are drawn from real-world implementations across financial institutions and cover areas such as fraud detection, risk assessment, and investment strategies. Top 11 Use Cases of Deep Learning in Finance 1.
Top 50 Deep Learning Use Case & Case Studies in 2025
Deep learning is a machine learning technique using artificial neural networks. When trained on large, high-quality datasets, it achieves high accuracy. This makes it useful in areas with abundant data where accurate predictions are valuable. Please see deep learning capabilities and its applications based on industry and function.