Convolutional Neural Networks Guide to Algorithms, Artificial Neurons, and Deep Learning: Introduction to Feedforward Neural Networks

Artificial Intelligence, Book 2

By: William Sullivan

Narrated by: Lukas Arnold

Length: 53 mins

Publisher's Summary

The very schemata of Convolutional Neural Networks and the technology behind it was inspired by our biological human brains!

Its a known fact that computers can store exponential amounts of information on their hard-drives. But our human brains have a set capacity and just cannot compete against technology on this front. However, our biological brains can outpace a computer in some other everyday functions we take for granted.

Engineers and scientist are discovering ways to model our human brains and integrate certain aspects of it to create what we know as "neural networks". In essence, replicate the fine tuning, inner complexities and intricacies the human brain possess.

In my book, Convolutional Neural Networks Guide to Algorithms, Artificial Neurons, and Deep Learning, you will learn the following concepts:

• Fundamentals of neural networks
• Intelligent systems
• Functioning of the feed-forward neural network
• Back-propagation
• Algorithms
• And, much, much more!

You do not want to miss out on this incredible offer! Take this opportunity to learn about the next big innovation in technology and real-world applications of the next potential trillion-dollar industry (artificial intelligence) that will take the world by storm.

PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.

©2018 Healthy Pragmatic Solutions Inc. (P)2018 Healthy Pragmatic Solutions Inc.

Poorly written Wikipedia post book scam

This was horrible and I hope that no o e else ever spends $ on this scam. The "book" is little more than a grammar and pronunciation error ridden Wikipedia entry. Read Wikipedia or buy a real book on this topic.

straight forward

What I liked best was his treatment of discrete systems. It makes digital filter design simple. This book was a nostalgic review for me. People in EE programs should buy it.

great intelligence

This book could be a nice refresher, but mainly it seems useful to someone who is taking a signals and systems class, who is a already up to speed, who wants a little better understanding of the material then their book or professor provides.

go for it

Excellent audiobook. It fills in many of the math steps typically left out of most used this text books in colleges

useful book

This book presents a good amount of material. It also has a good amount of solved problems for each section and usually explains what is going on. For the price I can't find anything wrong with it

outstanding listen

I went back to school for my MS, and I'm taking a Digital Communications Theory course. Needless to say, signals and systems are very relevant to the topic, and if it's been a while since you've done anything with them and find yourself needing to re-smart yourself quick, this book is outstanding

new techniqes

I find this book instructive and informative. The tips and techniques are quite interesting.
I like it a bunch coz I learn a lot.
If you are newbie, this book is perfect for you to learn data management, model training. neural networks and even learning

good start

Very helpful in understanding the basic concepts. Easy to understand language and clear examples make this book a good start point

great examples

Great book. Explanation are very through and deliver exactly what is needed. Book also has a lot of visual elements to help better understand the details of the topic.Example is very good

great boook

This book teach me about convolution Learning.
It guide me well in the right process.
I like reading it. The steps are easy to comprehend.
They covered machine problem and how to solve it which I find great to have better knowledge about it.