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 ...

Black Hat Python is a clear winner in the field of books for security professionals. Written for people who want to move into the hacking and penetration testing fields and fully understand 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 ...

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 ...