Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

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

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 follow-on tutorial “for experts” covers some of the same material again, faster, but then shows you how to create a multilayer convolutional neural network to improve the results to about ...

Coding a neural network from scratch allows you to fully understand exactly what's going on, and allows you to experiment with the code. The downside is the extra time and effort required. Listing 1: ...

The follow-on tutorial “for experts” covers some of the same material again, faster, but then shows you how to create a multilayer convolutional neural network to improve the results to about ...

Python Neural Network Cross Entropy Error Demo Behind the scenes I’m using the Anaconda (version 4.1.1) distribution that contains Python 3.5.2 and NumPy 1.11.1, which are also used by Cognitive ...