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 ...

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

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 ...

Python Playground is NOT a book for beginners, but it is a book that anyone who is comfortable with Python scripting is likely to find is helpful for moving them from competent to skilled with ...

Additionally, Python is the language of choice when using neural network code libraries such as Microsoft CNTK and Google TensorFlow, so understanding the demo Python code will help you use these code ...

This isn't Software-Defined Networking (SDN) by any means, but it's still a huge step forward from the "box-by-box" method of network administration. Next, let's try the scanning script on the sample ...

The demo Python program uses back-propagation to create a simple neural network model that can predict the species of an iris flower using the famous Iris Dataset. The demo begins by displaying the ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

In Part 2 of this series, MathWorks' Heather Gorr details how to take advantage of Python-based AI and ML libraries via MATLAB. Wrapping up this video series, MathWorks' Heather Gorr talks about ...