Deep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence

De: Herbert Jones

Narrado por: Sam Slydell

If you want to learn about Deep Learning then keep reading....

It’s said that filling the observable universe with an infinite number of monkeys on infinite typewriters and letting them type for an infinite amount of time would eventually produce Shakespeare’s works. However, what would happen if we applied the infinite monkey theorem to computer programs capable of learning and evolution? Would a thousand such smart machines thrown together and allowed to evolve undisturbed produce a human mind or something much greater? Well, scientists decided to give it a go and see what happened.

That line of reasoning, alongside the fact we’ve nearly exhausted all the possible progress of the scientific method, motivated the creation of deep learning, a process in which computer programs meant to learn and adapt to the environment evolve on their own without any human intervention or even knowledge how their evolution occurs. Such software could eventually develop a will of its own and escape containment or even be intentionally unleashed on the planet as a cyber-weapon.

This audiobook analyzes the validity of such seemingly preposterous possibilities while compiling and investigating academic research concerning deep learning and its practical applications, referencing, and quick summarizing of numerous academic writings that need to be meticulously picked apart by the curious listener - who can then truly understand what lies ahead of us all in a future dominated by smart machines. If that same listener finds themselves starting up exhaustive conversations with complete strangers on deep learning, this book has done its job superbly. So if you want to learn about Deep Learning without having to go through heavy textbooks, listen to this audiobook now!

©2018 Herbert Jones (P)2018 Herbert Jones

Highly recommend

It explains step by step, using both illustrations and maths, how neural networks are built up and tuned. Excellent audio for anyone interested in the inner workings of neural networks.

Book is as described

Very useful to have it next to you when you are learning, implementing or using. I was so impressed with the deep learning all portion of this book. I can recommend this work highly enough.

Great resourace

Clearly explained concepts which serve well as a reference but it needs to be complemented with other resources for independent and it would be extremely helpful to include problems and generate ideas during the listening to it.

fantastic

the superb introduction to deep learning in general, easy to understand, even if you don't have a strong mathematical background. A must have this book.

Nice book

This audiobook is full of helpful information. I listen to it and found it to be very convenient. Those who want to learn more should definitely grab this book.

one of the best

One of the best Deep Learning books! For beginners, the theoretical explanations might seem somewhat insufficient, but, the practical parts are the best.

Thank you

This is an excellent AUDIObook which covers a complex topic such as Neural Networks - I started listening to this audiobook with good knowledge of Neural networks, after listening to it, I can say that I do understand the principles of Neural Networks.

the deep learning field

This book has a lot of information about machine learning but no just that also have a good vision of deep learning and a lot of tips.

I liked this book very much

This book made my life easier with the proper tips and guides. I am happy I found this book. I found this to be an extremely interesting and mind changing book. Thanks for my best friend for recommending me this book.

this will help to reinforce knowledge

If you want to learn a lot of information about Deep Learning, then this guide is a great resource for you. This book is very actual and useful for every people nowadays.