Last version published: 02/03/2018 15:37
Publication number: ELQ-25329-2
View all versions & Certificate
Deep Neural Networks Tutorial
This is an introduction to neural networks; their principles and back-propagation.
In this video, Brandon Rohrer talks about how neural networks work. He also walks through the process of building a neural network. He talks in simple language using visual, worked examples for better understanding.
To make the complicated concepts described easier to understand and visualise, Brandon Rohrer has included diagrams that have been clearly labelled.
Length: 24 minutes 37 seconds
This Best Practice includes
1 Video File
Add to bookmarks
- Be the first to review this Video File
Write a review
People using this Best Practice also downloaded
How to Build a Neural Network in 4 MinutesThis short & intense video will teach you how to build a neural net in 4 minutes.modelsartificial intelligencebuildingaicoding152freeby Siraj Raval
How to Write a Neural Network In PythonThis video will show you how you can create a simple neural network using Python.programmingartificial intelligenceaipythoncoding114freeby Codacus
How to Create a DatabaseLearn more about basic database terminology before you start coding.dataprogrammingdatabasedata sciencecoding49add_shopping_cartfreeby 365 Data Science
Introduction to PythonPython Programming Languagelearningdata visualizationlanguageprogrammingtraining50add_shopping_cart$49.00by Fin-Wiser Advisory
Any questions on Deep Neural Networks Tutorial?
The user community and author are here to help. Go ahead!