

Review: Best book on programming ever - Very nice book, it contains a lot of knowledge that I ever wanted. Love at first sight for me🤭🤭💓 Review: Best for Beginners with Interest on DL and Web - The book is well equipped with all the information from the dawn of different ages of AI. It surely just not mentions how the AI has grown, it also does a magnificent job in demonstrating the accelerating factor for AI, the advancement of whose from the past has been shown beautifully which ultimately resulted in the AI that we have today. The following explanation of past-current-future stats is really beautiful to know data generation, hardware advancements. Every single details are explained carefully as much as possible to make it easier to grasp even for the starters in the field and top of that given external resources wherever necessary, not restricting it to only the book content as necessary makes it a proper knowledge hub. The book gives a decent touch to different methodologies and best practices for every portion of the ML workflow. The explanation of the value of data and how it changed the entire course of second world war is really unknown and truly remarkable to highlight which definitely should point out the importance of data in the fellow readers. The book puts a remarkable touch in letting us understand the relation of NN with our Brain from the basic working principles and alike components. It also describes it pretty well the fundamentals between different types of neurons which very rarely we get to know from different courses/books. It does a great job in clearing out the concepts of backpropagation in a simple and easy to understand manner. This book does not leave your hand until it breaks the complex theories in a very naïve manner and relies on best practical scenarios for you to understand and grasp easily, be it getting a hold complex working scenarios behind CNN, RNN to the initial extend to go ahead. I would definitely suggest this book to get hands-on learning on the state of the art methodologies of Deep Learning on the web.
| Customer Reviews | 5.0 out of 5 stars 3 Reviews |
K**K
Best book on programming ever
Very nice book, it contains a lot of knowledge that I ever wanted. Love at first sight for me🤭🤭💓
R**H
Best for Beginners with Interest on DL and Web
The book is well equipped with all the information from the dawn of different ages of AI. It surely just not mentions how the AI has grown, it also does a magnificent job in demonstrating the accelerating factor for AI, the advancement of whose from the past has been shown beautifully which ultimately resulted in the AI that we have today. The following explanation of past-current-future stats is really beautiful to know data generation, hardware advancements. Every single details are explained carefully as much as possible to make it easier to grasp even for the starters in the field and top of that given external resources wherever necessary, not restricting it to only the book content as necessary makes it a proper knowledge hub. The book gives a decent touch to different methodologies and best practices for every portion of the ML workflow. The explanation of the value of data and how it changed the entire course of second world war is really unknown and truly remarkable to highlight which definitely should point out the importance of data in the fellow readers. The book puts a remarkable touch in letting us understand the relation of NN with our Brain from the basic working principles and alike components. It also describes it pretty well the fundamentals between different types of neurons which very rarely we get to know from different courses/books. It does a great job in clearing out the concepts of backpropagation in a simple and easy to understand manner. This book does not leave your hand until it breaks the complex theories in a very naïve manner and relies on best practical scenarios for you to understand and grasp easily, be it getting a hold complex working scenarios behind CNN, RNN to the initial extend to go ahead. I would definitely suggest this book to get hands-on learning on the state of the art methodologies of Deep Learning on the web.
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