We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

The "Hands-On Python for Networking Professionals" course dives into using Python for networking automation. And the "Using Community Code" focuses on writing code to solve specific problems.

Python is one of the most popular languages today and is widely used for data analysis, machine learning, DevOps, and web development. At Netflix, many of the network devices that make up its CDN ...

Automate the Boring Stuff with Python has a project that uses this library and the explanation of how to use BeautifulSoup solved my problem (or, more accurately, solved my misunderstanding).

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 ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower.

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

Python 2.7.9, the latest bugfix release for the 2.x branch of the language, landed earlier today. In keeping with 2.x being in maintenance mode and the 3.x branch as the preference, this version ...

Google Cloud has announced the launch of its Layer-1 blockchain dubbed Google Cloud Universal Ledger (GCUL). This protocol is ...