Deep learning has taken off exponentially in terms of actual deployments inside of many companies. Businesses of all sizes and across all verticals are currently implementing deep learning to derive insights, improve performance and gain a sustainable competitive advantage.
Deep learning capabilities include image classification, natural language processing, real-time speech translation, video stream interpretation, along with many other areas of application. Actual use cases include recommendation engines, virtual assistants (like Siri and Cortana), translation engines, algorithmic trading using market data, time series analysis, anomaly detection, diagnostics in medical image scanning, and navigation including autonomous vehicles. The performance of deep learning algorithms now exceeds that of most other machine learning techniques, effectively making these other algorithms obsolete in the process.