Convolutional Neural Networks Guide to Algorithms, Artificial Neurons, and Deep Learning: Introduction to Feedforward Neural Networks
Artificial Intelligence, Book 2
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Narrated by:
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Lukas Arnold
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By:
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William Sullivan
About this listen
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.Listeners also enjoyed...
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Hilarious, fascinating, and a roller coaster of dizzying, historical what-ifs, Napoleon's Hemorrhoids is a potpourri for serious historians and casual history buffs. In one of Phil Mason's many revelations, you'll learn that Communist jets were two minutes away from opening fire on American planes during the Cuban missile crisis, when they had to turn back as they were running out of fuel. You'll discover that before the Battle of Waterloo, Napoleon's painful hemorrhoids prevented him from mounting his horse to survey the battlefield.
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They just throw the facts too fast
- By Concerned_llama on 12-11-20
By: Phil Mason
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The Quantum Universe
- (And Why Anything That Can Happen, Does)
- By: Brian Cox, Jeff Forshaw
- Narrated by: Samuel West
- Length: 8 hrs and 28 mins
- Unabridged
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In The Quantum Universe, Brian Cox and Jeff Forshaw approach the world of quantum mechanics in the same way they did in Why Does E=mc2? and make fundamental scientific principles accessible - and fascinating - to everyone.The subatomic realm has a reputation for weirdness, spawning any number of profound misunderstandings, journeys into Eastern mysticism, and woolly pronouncements on the interconnectedness of all things. Cox and Forshaw's contention? There is no need for quantum mechanics to be viewed this way.
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Not suitable as an audio book
- By SPN on 03-29-22
By: Brian Cox, and others
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How Dogs Love Us
- A Neuroscientist and His Adopted Dog Decode the Canine Brain
- By: Gregory Berns
- Narrated by: LJ Ganser
- Length: 7 hrs and 41 mins
- Unabridged
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How Dogs Love Us answers the age-old question of dog lovers everywhere and offers profound new evidence that dogs should be treated as we would treat our best human friends: with love, respect, and appreciation for their social and emotional intelligence.
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misleading title
- By Cindy on 08-06-15
By: Gregory Berns
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Cosmic Queries
- StarTalk’s Guide to Who We Are, How We Got Here, and Where We’re Going
- By: James Trefil, Lindsey N. Walker - editor, Neil deGrasse Tyson
- Narrated by: Neil deGrasse Tyson, Lauren Fortgang
- Length: 6 hrs and 18 mins
- Unabridged
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In this illuminating audiobook, Tyson and coauthor James Trefil, a renowned physicist and science popularizer, take on the big questions that humanity has been posing for millennia - How did life begin? What is our place in the universe? Are we alone? - and provide answers based on the most current data, observations, and theories.
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Not worth it
- By Daniel Earl on 03-15-21
By: James Trefil, and others
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Plant Science: An Introduction to Botany
- By: Catherine Kleier, The Great Courses
- Narrated by: Catherine Kleier
- Length: 12 hrs and 13 mins
- Original Recording
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Dr. Catherine Kleier invites us to open our eyes to the phenomenal world of plant life and to the process she calls “Natura Revelata”, the joy of celebrating and learning from the secrets of nature. As Dr. Kleier shares her knowledge with contagious excitement for her subject, she emphasizes the middle ground: Instead of focusing on cell microbiology or the study of ecosystems and habitats, she stresses the basic biology, function, and the amazing adaptations of the plants we see all around us.
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Needs accompanying documentation and visual aides
- By Ryan on 04-04-19
By: Catherine Kleier, and others
What listeners say about Convolutional Neural Networks Guide to Algorithms, Artificial Neurons, and Deep Learning: Introduction to Feedforward Neural Networks
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- imzhat
- 02-21-18
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.
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- shibli
- 02-21-18
powerful
To learning this term Convolutional learning becomes easy with the help of this beginners appropriate guide book. These guide book teachings will assist you in understanding and learning algorithms and machine learning tools that you could use, data acquisition and data management and much more informational about this term, appreciated book
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- chota
- 02-21-18
truly amazing
Truly and amazing prologue to Machine Learning. It begins toward the start and advances through the significant subjects with clear illustrations. This is a fabulous book for the supreme fledgling. Albeit to a great degree rudimentary in content, it is extremely valuable for somebody with no background.
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- pinky
- 02-21-18
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
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- H. Hampton
- 02-23-18
go for it
Excellent audiobook. It fills in many of the math steps typically left out of most used this text books in colleges
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- smith
- 02-23-18
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.
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- Ashley H McNeely
- 02-21-18
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
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- Connie
- 02-21-18
great guide
This book is a great guide for anyone who is curious about machine learning just like me, but has no idea where to start. I imagine there are a lot of people who tried to google and got frustrated and gave up wishing someone would just give them a high-level explanation. That’s why when my sister referred this book, without hesitations, i grabbed it right away.
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- Eula Schultz
- 02-23-18
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
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- Andrea
- 02-21-18
good start
Very helpful in understanding the basic concepts. Easy to understand language and clear examples make this book a good start point
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