Guide to Machine Learning with ML.NET 1.0

Guide to Machine Learning with ML.NET 1.0

As a person coming from .NET world, it was quite hard to get into machine learning right away. One of the main reasons was the fact that I couldn’t start Visual Studio and try out these new things in the technologies I am proficient with. I had to solve another...
Ultimate Guide to Machine Learning with ML.NET

Ultimate Guide to Machine Learning with ML.NET

Check out new guide with ML 1.0 here. Code that accompanies this article can be downloaded here. Several months ago I wrote a series of articles about ML.NET. Back then ML.NET was at its infancy and I used 0.3 version to solve some real-world problems. One of my...
Restricted Boltzmann Machine Series

Restricted Boltzmann Machine Series

The path to learning story of Restricted Boltzmann Machine is bumpy. First, we needed to learn what are Energy-Based Models, the group of machine learning models that Restricted Boltzmann Machine is a part of. Then we need to explore functionalities of vanilla...
Self- Organizing Maps Series

Self- Organizing Maps Series

So far in our artificial neural network series, we have covered only neural networks that are using supervised learning. To be more precise, we only explored neural networks that have input and output data available to them during the learning process. Based on this...
Deep Learning for ProgrammersLearn how to use software development experience to become deep learning superstar!
  • Why should you care about deep learning?
  • Learn just enough math to be dangerous.
  • Get familiar with Python and TensorFlow.
  • Use familiar paradigms like Object Oriented Programming to understand main Deep Learning concepts.
  • Explore and implement 12 neural network architectures.
  • Solve various real-world problems with neural networks.
  • Learn how to generate images with neural networks.
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