Neural Networks: A Practical Guide For Understanding And Programming Neural Networks And Useful Insights For Inspiring Reinvention

Cooper, Steven

ISBN 10: 3903331570 / ISBN 13: 9783903331570

Editore: Data Science, 2019

In. Codice articolo ria9783903331570_new

Riassunto:

Curious About Neural Networks?

If you're looking to become familiar with the basics of a neural network, then you have found a resource to help you accomplish that goal. If you require an approach that is mostly non-mathematical, then read on.

Did you see how I've introduced filtering parameters to achieve the best match from this book to its suitable reader? You've just observed the technical way a neural network performs!

I will "train" your neural network and reduce your "cost score." Don't worry, that sentence will make perfect sense to you soon…

In other words, this book will teach you in an effort to minimize any gaps or errors in your understanding.

Within the book “Neural Networks”, you´ll discover:

• What a neural network is
• How deep learning works
• The technical components that give rise to machine intelligence
• Terms, jargon, and the mathematical elements of a neural network
• The different types of neural networks
• The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST!
• How to hack a neural network!
• How to build your own neural network!

This, along with a bit of history, practical implications, and much, much more!

You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do!

If you easily sort out information that is presented in a practical and relatable form, then the real-world examples and narratives contained in this book will optimize your understanding.

Dati bibliografici

Titolo: Neural Networks: A Practical Guide For ...
Casa editrice: Data Science
Data di pubblicazione: 2019
Legatura: Rilegato
Condizione: New