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 Mahreen Rashid: Executive Vice President of People Services. Mahreen is deeply passionate about Inclusion,...
Twenty years ago, Excella started with the belief that organizations could realize their futures through...