Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

Writing an all-encompassing book on Python machine learning is difficult, given how expansive the field is. But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical exercises make learning neural net ...

Remember when IntelliSense first wowed you with automatic code-completion suggestions as you programmed in Visual Studio? Well, a new announcement from Microsoft shows just how far that notion has ...

The technology industry is currently in the midst of an artificial intelligence (AI) renaissance. Initial work in this field fell something short of its longer term potential due to limitations in the ...

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...