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.

Neural network dropout was introduced in a 2012 research paper (but wasn't well known until a follow-up 2014 paper). Dropout is now a standard technique to combat overfitting, especially for deep ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries.

Using 19th-century math, a team of engineers revealed what happens inside neural networks they've created. The calculations are familiar.

Microsoft is adding Python language support to its open source deep learning toolkit for developers. The kit, formerly known as Computational Network Toolkit (CNTK) and now called Microsoft ...

A new experiment from Microsoft Research shows that today's artificially intelligent systems offer only a hint of how powerful AI will one day become.

I use the Python language for my demo program because Python has become the de facto language for interacting with powerful deep neural network libraries, notably the Microsoft Cognitive Toolkit and ...