It’s now more apparent than ever that security is a critical aspect of IT infrastructure, and that devastating data breaches can occur from simple network line hacks. Claim your complimentary eBook ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

“Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work.” – Al Sweigart, author of Automate the ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Microsoft Research data scientist Dr. James McCaffrey explains what neural network Glorot initialization is and why it's the default technique for weight initialization. In this article I explain what ...

If old Python networking and web libraries aren't fast enough for you, these new additions break speed limits and unleash new possibilities Faster, simpler, more “Pythonic” — those are the rallying ...

In the first article in this series focusing on the top 5 languages for systems admins, I wrote about not being too fond of programming. To recap, it’s not because I don’t see the value behind it, ...