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 ...

Use the Python Netmiko module to automate switches, routers and firewalls from multiple vendors. I frequently find myself in the position of confronting "hostile" networks. By hostile, I mean that ...

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 ...

With the help of Python and the NumPy add-on package, I'll explain how to implement back-propagation training using momentum. Neural network momentum is a simple technique that often improves both ...