Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace.
(This is the color version of the book)
What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small.
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Автор: Le Lu Название: Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics ISBN: 3030139689 ISBN-13(EAN): 9783030139681 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases.
This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field.
Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts.
Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way.
Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.
Автор: Lu Le, Wang Xiaosong, Carneiro Gustavo Название: Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics ISBN: 3030139719 ISBN-13(EAN): 9783030139711 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases.
If you think that this is something that may have a huge impact on your life please keep reading, because you are right... it is
If you are reading this you probably already know something about Deep Learning. You probably know that this is maybe the number one secret behind the success of the big ones, like Google, Facebook and Amazon. Maybe you are also aware that it has been crucial in the tremendous growth of the greatest startups of the last decade, like Airbnb, Uber or Spotify, just to name some.
So, you know what we are talking about, still, you will probably have some questions too, like...
Is this for me?
Is this something I can learn?
And once I have learned it, can I also use it in everyday business or it concerns only the big ones?
Well, the answer is YES
YES, this is for you (if you want to)
YES, you can learn it (if you commit to)
YES, you can use it for your own business (but it can also open you many doors in finding a great job)
So, either if you want to apply Artificial Intelligence to your own startup, or use it to grow your current business to the next level, or just to find a great job based on your skills and passion, Deep Learning is a great point to start.
With Deep Learning for Beginners you will learn:
The most effective starting points when training deep neural nets
How to talk with deep neural networks
What libraries are and which one is the best for you
Why a decision tree is the smartest way to go
The TensorFlow parts that are going to make your coding life easy
If you don't know anything about programming, understanding Deep Learning is the ideal place to start. Still, if you already know something about programming but not about how to apply it to Artificial Intelligence, Deep Learning is what you want to understand.
Buy now Deep Learning for Beginners to start your path of Artificial Intelligence.
DO YOU WANT TO LEARN THE BASICS OF PYTHON PROGRAMMING QUICKLY?
Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin?
This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it.
Some of the topics that we will discuss include:
The Fundamentals of Machine Learning, Deep learning, And Neural Networks
How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You
How To Master Neural Network Implementation Using Different Libraries
How Random Forest Algorithms Are Able To Help Out With Machine Learning
How To Uncover Hidden Patterns And Structures With Clustering
How Recurrent Neural Networks Work And When To Use
The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning
And Much More
This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like.
If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you.
Автор: Sanders Finn Название: Python Machine Learning For Beginners: Handbook For Machine Learning, Deep Learning And Neural Networks Using Python, Scikit-Learn And TensorFlow ISBN: 3903331708 ISBN-13(EAN): 9783903331709 Издательство: Неизвестно Рейтинг: Цена: 24820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Imagine a world where you can make a computer program learn for itself? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin?
If you think that this is something that may have a huge impact on your life please keep reading, because you are right... it is
If you are reading this you probably already know something about Deep Learning. You probably know that this is maybe the number one secret behind the success of the big ones, like Google, Facebook and Amazon. Maybe you are also aware that it has been crucial in the tremendous growth of the greatest startups of the last decade, like Airbnb, Uber or Spotify, just to name some.
So, you know what we are talking about, still, you will probably have some questions too, like...
Is this for me?
Is this something I can learn?
And once I have learned it, can I also use it in everyday business or it concerns only the big ones?
Well, the answer is YES
YES, this is for you (if you want to)
YES, you can learn it (if you commit to)
YES, you can use it for your own business (but it can also open you many doors in finding a great job)
So, either if you want to apply Artificial Intelligence to your own startup, or use it to grow your current business to the next level, or just to find a great job based on your skills and passion, Deep Learning is a great point to start.
With Deep Learning for Beginners you will learn:
The most effective starting points when training deep neural nets
How to talk with deep neural networks
What libraries are and which one is the best for you
Why a decision tree is the smartest way to go
The TensorFlow parts that are going to make your coding life easy
If you don't know anything about programming, understanding Deep Learning is the ideal place to start. Still, if you already know something about programming but not about how to apply it to Artificial Intelligence, Deep Learning is what you want to understand.
Buy now Deep Learning for Beginners to start your path of Artificial Intelligence.
Автор: Fingscheidt Название: Deep Neural Networks and Data for Automated Driving ISBN: 3031012321 ISBN-13(EAN): 9783031012327 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence. Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges.
Автор: Al-Turjman Fadi Название: Real-Time Intelligence for Heterogeneous Networks: Applications, Challenges, and Scenarios in Iot Hetnets ISBN: 3030756130 ISBN-13(EAN): 9783030756130 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net) and Internet of Things (IoT) era. The book presents the latest advances and research into heterogeneous networks in critical IoT applications.
Автор: Thomas Lindblad; Jason M. Kinser Название: Image Processing using Pulse-Coupled Neural Networks ISBN: 3642440339 ISBN-13(EAN): 9783642440335 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.
Автор: Thomas Lindblad; Jason M. Kinser Название: Image Processing using Pulse-Coupled Neural Networks ISBN: 364236876X ISBN-13(EAN): 9783642368769 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.
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