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.

Future of Deep Learning according to top AI Experts

Deep LearningNov 20

Deep learning currently delivers the best results for many AI applications. But there’s debate about its ultimate potential. Geoffrey Hinton believes deep learning will eventually solve all problems, while other scientists point to fundamental flaws without clear solutions. As interest grows among researchers, developers, and the public, breakthroughs are likely.

Deep LearningNov 18

Top 50 Deep Learning Use Case & Case Studies

Deep learning uses artificial neural networks to learn from data. When trained on large, high-quality datasets, it achieves high accuracy, making it valuable wherever you have abundant data and need accurate predictions. Below are real deep learning applications across industries and business functions, with concrete examples.

Deep LearningSep 17

Deep Learning in Finance Top 11 Use Cases

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.

Deep LearningJul 16

Top 10 Applications of Deep Learning in Manufacturing

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.