finelybook
Deep Learning with TensorFlow
Take your machine learning knowledge to the next level with the power of TensorFlow 1.x
by Giancarlo Zaccone,Md. Rezaul Karim,Ahmed Menshawy
pages 页数: 320 pages
Publisher Finelybook 出版社: Packt Publishing (24 April 2017)
Language 语言: English
ISBN-10 书号: 1786469782
ISBN-13 书号: 9781786469786
About the Author
Giancarlo Zaccone
Giancarlo Zaccone has more than ten years of experience in managing research projects both in scientific and industrial areas. He worked as researcher at the C.N.R,the National Research Council,where he was involved in projects relating to parallel computing and scientific visualization. Currently,he is a system and software engineer at a consulting company developing and maintaining software systems for space and defense applications. He is author of the following Packt volumes: Python Parallel Programming Cookbook and Getting Started with TensorFlow. You can follow him at https://it.linkedin.com/in/giancarlozaccone.
Md. Rezaul Karim
Md. Rezaul Karim has more than 8 years of experience in the area of research and development with a solid knowledge of algorithms and data structures,focusing C/C++,Java,Scala,R,and Python and big data technologies such as Spark,Kafka,DC/OS,Docker,Mesos,Hadoop,and MapReduce. His research interests include machine learning,deep learning,Semantic Web,big data,and bioinformatics. He is the author of the book titled Large-Scale Machine Learning with Spark,Packt Publishing. He is a Software Engineer and Researcher currently working at the Insight Center for Data Analytics,Ireland. He is also a Ph.D. candidate at the National University of Ireland,Galway. He also holds a BS and an MS degree in Computer Engineering. Before joining the Insight Centre for Data Analytics,he had been working as a Lead Software Engineer with Samsung Electronics,where he worked with the distributed Samsung R&D centers across the world,including Korea,India,Vietnam,Turkey,and Bangladesh. Before that,he worked as a Research Assistant in the Database Lab at Kyung Hee University,Korea. He also worked as an R&D Engineer with BMTech21 Worldwide,Korea. Even before that,he worked as a Software Engineer with i2SoftTechnology,Dhaka,Bangladesh.
Ahmed Menshawy
Ahmed Menshawy is a Research Engineer at the Trinity College Dublin,Ireland. He has more than 5 years of working experience in the area of Machine Learning and Natural Language Processing (NLP). He holds an MSc in Advanced Computer Science. He started his Career as a Teaching Assistant at the Department of Computer Science,Helwan University,Cairo,Egypt. He taught several advanced ML and NLP courses such as Machine Learning,Image Processing,Linear Algebra,Probability and Statistics,Data structures,Essential Mathematics for Computer Science. Next,he joined as a research scientist at the Industrial research and development lab at IST Networks,based in Egypt. He was involved in implementing the state-of-the-art system for Arabic Text to Speech. Consequently,he was the main machine learning specialist in that company. Later on,he joined the Insight Centre for Data Analytics,the National University of Ireland at Galway as a Research Assistant working on building a Predictive Analytics Platform. Finally,he joined ADAPT Centre,Trinity College Dublin as a Research Engineer. His main role in ADAPT is to build prototypes and applications using ML and NLP techniques based on the research that is done within ADAPT.
Delve into neural networks,implement deep learning algorithms,and explore layers of data abstraction with the help of this comprehensive TensorFlow guide
About This Book
Learn how to implement advanced techniques in deep learning with Google's brainchild,TensorFlow
Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide
Real-world contextualization through some deep learning problems concerning research and application
Who this book is for
The book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed,as is a basic familiarity with computer science techniques and technologies,including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
What you will learn
Learn about machine learning landscapes along with the historical development and progress of deep learning
Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x
Access public datasets and utilize them using TensorFlow to load,process,and transform data
Use TensorFlow on real-world datasets,including images,text,and more
Learn how to evaluate the performance of your deep learning models
Using deep learning for scalable object detection and mobile computing
Train machines quickly to learn from data by exploring reinforcement learning techniques
Explore active areas of deep learning research and applications
