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
Product ID: 806401533
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 book 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 reader – who can then truly understand what lies ahead of us all in a future dominated by smart machines. If that same reader finds themselves starting up exhaustive conversations with complete strangers on deep learning, this book has done its job superbly. 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 cover topics such as: Improving the Scientific Method How It All Started Appeasing the Rebellious Spirits Quantum Approach To Science The Replication Crisis Evolving the Machine Brain The Future of Deep Learning Medicine with the Help of a Digital Genie And Much, Much More So if you want to learn about Deep Learning without having to go through heavy textbooks, click "buy now"! Review: Not what I expected. Better - I actually learned as much about medicine and the other fields to which DL is being applied as I did about deep learning. Very good and informative. Well worth reading. Review: Gentle introduction to DL - This book is a great introduction to deep learning. It gives the reasoning behind the rise of neural networks and covers a wide range of applications involving neural networks. The best part is that it references current research in the field, which you can access by the arXiv links on the page. Great read, highly recommend! (Note it does not go into the technical details)
| Best Sellers Rank | #5,755,100 in Kindle Store ( See Top 100 in Kindle Store ) #1,860 in Computer Neural Networks #2,924 in Neural Networks #5,849 in Computers & Technology (Kindle Store) |
P**D
Not what I expected. Better
I actually learned as much about medicine and the other fields to which DL is being applied as I did about deep learning. Very good and informative. Well worth reading.
K**G
Gentle introduction to DL
This book is a great introduction to deep learning. It gives the reasoning behind the rise of neural networks and covers a wide range of applications involving neural networks. The best part is that it references current research in the field, which you can access by the arXiv links on the page. Great read, highly recommend! (Note it does not go into the technical details)
B**H
too many fillers
This book has too many fillers. Seldomly, there were interesting talks within the book. But, there are too many not essential contents (e.g., detailed statistics about diabetes, etc.) that are not essential to learn deep learning. Of course, you need to something based upon you build up your story. But, there are too many. For example, at least you need to talk about how deep learning is working with some core concepts such as convolution.
D**E
Not a technical guide, but a high-level introduction to deep learning
This book provides a wealth of great examples of the evolution of deep learning and sparks a ton of great ideas as well as references to current research. A good read for people who have zero experience or background in the field but want to be able to hold a conversation on the subject.
D**O
not sure what it was about
the book was great, I really loved how it tries to explain why we ended up with Deep Learning and AI. But not sure the title explains the book nor what was it all about :-)
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