Building Deep Neural Networks in ML.NET
Explore ML.NET and how it compares to its python equivalent Scikit Learn as well as Google’s flagship within deep learning, Tensorflow. Are they competitors, or are they working towards the same goal? There are numerous ways to build deep neural networks (DNNs) in Python to accomplish amazing tasks such as computer vision, voice assistance, and much more. But what about in .NET? In this talk Managing Consultant and Microsoft MVP Alex Slotte explores the ins and outs of deep learning and neural networks. Take a deep dive into the trending open-source and cross-platform library ML.NET and build your own DNN in .NET using .NET Interactive and Jupyter Notebooks. Learn about:
- Machine Learning
- Deep Neural Networks
You Might Also Like
Meet Doguhan Doguhan Uluca is a Technical Fellow and Managing Consultant at Excella, a best-selling...
Team stability is a key factor in successful Agile teams. However, maintaining stability isn’t always...