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100%: Steven Cooper: Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch (Hardback) (ISBN: 9783903331754) 2019, Roland Bind, United States, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
100%: Cooper, Steven: Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch (ISBN: 9783903331372) 2019, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
69%: Cooper, Steven: Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch (ISBN: 9781727127263) Createspace Independent Publishing Platform, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch (Hardback)
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Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch (Hardback) (2019)
~EN HC NWISBN: 9783903331754 bzw. 3903331759, vermutlich in Englisch, Roland Bind, United States, gebundenes Buch, neu.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English. Brand new Book. 2 books in 1! This is the bundle of two successful books in the market!Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more. Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn: In-depth information about what data science is and why it is important. The prerequisites you will need to get started in data science. What it means to be a data scientist. The roles that hacking and coding play in data science. The different coding languages that can be used in data science. Why python is so important. How to use linear algebra and statistics. The different applications for data science. How to work with the data through munging and cleaning. And much more. These books provide proven concepts and strategies for people who want to know more about deep learning and how to work with data. After reading this bundle you'll be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals. Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
Language: English. Brand new Book. 2 books in 1! This is the bundle of two successful books in the market!Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more. Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn: In-depth information about what data science is and why it is important. The prerequisites you will need to get started in data science. What it means to be a data scientist. The roles that hacking and coding play in data science. The different coding languages that can be used in data science. Why python is so important. How to use linear algebra and statistics. The different applications for data science. How to work with the data through munging and cleaning. And much more. These books provide proven concepts and strategies for people who want to know more about deep learning and how to work with data. After reading this bundle you'll be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals. Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
2
Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch Steven Cooper Author
~EN HC NWISBN: 9783903331754 bzw. 3903331759, vermutlich in Englisch, Roland Bind, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
2 books in 1! This is the bundle of two successful books in the market!Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more... Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn: In-depth information about what data science is and why it is important. The prerequisites you will need to get started in data science. What it means to be a data scientist. The roles that hacking and coding play in data science. The different coding languages that can be used in data science. Why python is so important. How to use linear algebra and statistics. The different applications for data science. How to work with the data through munging and cleaning. And much more... These books provide proven concepts and strategies for people who want to know more about deep learning and how to work with data. After reading this bundle you'll be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
2 books in 1! This is the bundle of two successful books in the market!Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more... Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn: In-depth information about what data science is and why it is important. The prerequisites you will need to get started in data science. What it means to be a data scientist. The roles that hacking and coding play in data science. The different coding languages that can be used in data science. Why python is so important. How to use linear algebra and statistics. The different applications for data science. How to work with the data through munging and cleaning. And much more... These books provide proven concepts and strategies for people who want to know more about deep learning and how to work with data. After reading this bundle you'll be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
3
Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch Steven Cooper Author
~EN PB NWISBN: 9783903331372 bzw. 3903331376, vermutlich in Englisch, Roland Bind, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
2 books in 1! This is the bundle of two successful books in the market!Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more... Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn: In-depth information about what data science is and why it is important. The prerequisites you will need to get started in data science. What it means to be a data scientist. The roles that hacking and coding play in data science. The different coding languages that can be used in data science. Why python is so important. How to use linear algebra and statistics. The different applications for data science. How to work with the data through munging and cleaning. And much more... These books provide proven concepts and strategies for people who want to know more about deep learning and how to work with data. After reading this bundle you'll be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
2 books in 1! This is the bundle of two successful books in the market!Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for the integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more... Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn: In-depth information about what data science is and why it is important. The prerequisites you will need to get started in data science. What it means to be a data scientist. The roles that hacking and coding play in data science. The different coding languages that can be used in data science. Why python is so important. How to use linear algebra and statistics. The different applications for data science. How to work with the data through munging and cleaning. And much more... These books provide proven concepts and strategies for people who want to know more about deep learning and how to work with data. After reading this bundle you'll be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
4
Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch (2018)
EN PB NWISBN: 9781727127263 bzw. 1727127269, in Englisch, 354 Seiten, CreateSpace Independent Publishing Platform, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 4-5 business days, Real shipping costs can differ.
Von Händler/Antiquariat, super_star_seller.
Buy the Paperback version of this bundle, and get the Kindle eBook version included for FREE Get 2 books in 1! This is the bundle of two successful books in the market! Book 1: In "Machine Learning: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work" you will learn: The different types of learning algorithm that you can expect to encounter The numerous applications of machine learning The different types of machine learning and how they diffe The best practices for picking up machine learning What languages and libraries to work with The future of machine learning The various problems that you can solve with machine learning algorithms And much more... Book 2: In "Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention" you will learn: The history of neural networks and the way modern neural networks work How deep learning REALLY works The different types of neural networks The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST How to build your own neural network An effective technique for hacking into a neural network Some introductory advice for modifying parameters in the code-based environment And much more... These books provide proven concepts and strategies for people who want to know more about machine learning and neural networks. After reading this bundle you will be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals. Get your copy of these fantastic guides as a part of your commitment to improving your data knowledge. Don’t wait any longer and scroll up to click the buy now button!, Paperback, Label: CreateSpace Independent Publishing Platform, CreateSpace Independent Publishing Platform, Product group: Book, Published: 2018-09-06, Studio: CreateSpace Independent Publishing Platform.
Von Händler/Antiquariat, super_star_seller.
Buy the Paperback version of this bundle, and get the Kindle eBook version included for FREE Get 2 books in 1! This is the bundle of two successful books in the market! Book 1: In "Machine Learning: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work" you will learn: The different types of learning algorithm that you can expect to encounter The numerous applications of machine learning The different types of machine learning and how they diffe The best practices for picking up machine learning What languages and libraries to work with The future of machine learning The various problems that you can solve with machine learning algorithms And much more... Book 2: In "Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention" you will learn: The history of neural networks and the way modern neural networks work How deep learning REALLY works The different types of neural networks The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST How to build your own neural network An effective technique for hacking into a neural network Some introductory advice for modifying parameters in the code-based environment And much more... These books provide proven concepts and strategies for people who want to know more about machine learning and neural networks. After reading this bundle you will be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals. Get your copy of these fantastic guides as a part of your commitment to improving your data knowledge. Don’t wait any longer and scroll up to click the buy now button!, Paperback, Label: CreateSpace Independent Publishing Platform, CreateSpace Independent Publishing Platform, Product group: Book, Published: 2018-09-06, Studio: CreateSpace Independent Publishing Platform.
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Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners and Data Science from Scratch (2018)
EN NW RPISBN: 9781727127263 bzw. 1727127269, in Englisch, Createspace Independent Publishing Platform, neu, Nachdruck.
Von Händler/Antiquariat, Pbshop [61989342], Wood Dale, IL, U.S.A.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
6
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Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners and Data Science from Scratch (2018)
EN NW RPISBN: 9781727127263 bzw. 1727127269, in Englisch, Createspace Independent Publishing Platform, neu, Nachdruck.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
7
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Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch (2019)
~EN NW RPISBN: 9783903331372 bzw. 3903331376, vermutlich in Englisch, Data Science, neu, Nachdruck.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLOS, United Kingdom.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch
EN PB NWISBN: 9781727127263 bzw. 1727127269, in Englisch, CreateSpace Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Deep-Learning-for-Beginners~~Steven-Cooper, Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch, Paperback.
Deep-Learning-for-Beginners~~Steven-Cooper, Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch, Paperback.
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Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch
~EN NWISBN: 9783903331372 bzw. 3903331376, vermutlich in Englisch, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch.
Deep Learning For Beginners: 2 Manuscripts: Deep Learning For Beginners And Data Science From Scratch.
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Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners and Data Science from Scratch (2018)
EN PB NWISBN: 9781727127263 bzw. 1727127269, in Englisch, Createspace Independent Publishing Platform, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, plus shipping, Shipping area: STOCKNEW.
Von Händler/Antiquariat, Alibris, NV, Sparks, [RE:5].
Trade paperback.
Von Händler/Antiquariat, Alibris, NV, Sparks, [RE:5].
Trade paperback.
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