Help us shape the future of deep learning in .NET

Brigit Murtaugh

Deep learning is a subset of machine learning used for tasks such as image classification, object detection, and natural language processing. It uses algorithms known as neural networks to learn and make predictions on image, sound, or text data.

Neural networks learn from experience, just like we do as humans. Similar to how we may try an activity and adjust our actions based on the outcome, these algorithms perform a task repeatedly and tweak various actions or variables each time to improve their results, making them very powerful and intelligent.

We’d love to learn more about your current or prospective usage of deep learning in .NET through the quick 10-minute survey below. Whether you’re already implementing deep learning or just starting to learn about it now, we want to hear from you. We’ll use your feedback to drive the direction of deep learning support in .NET!