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Yoüll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, yoüll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book.
Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier.
What You Will LearnProgram in Python and TensorFlow
Tackle basic machine learning obstacles
Develop in the Jupyter Notebooks environment
Who This Book Is For
Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.
Yoüll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, yoüll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book.
Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier.
What You Will LearnProgram in Python and TensorFlow
Tackle basic machine learning obstacles
Develop in the Jupyter Notebooks environment
Who This Book Is For
Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.
Gain comfort in the Jupyter Notebooks environment, which makes programming in Python even easier
Build a basic understanding of more complex Machine Learning concepts and how TensorFlow simplifies them in practice
Program advanced applications using the familiar Python language
Chapter 1: An Overview of Artificial Intelligence.- Chapter 2: An Overview of Machine Learning.- Chapter 3: Introduction to Deep Learning.- Chapter 4: Machine Learning Versus Deep Learning.- Chapter 5: Machine Learning with Python.- Chapter 6: Introduction to Jupyter Notebooks.- Chapter 7: Python Programming on the Jupyter Notebook.- Chapter 8: The Tensorflow Machine Learning Library.- Chapter 9: Programming with Tensorflow 1.0.- Chapter 10: Introducing TensorFlow 2.0.- Chapter 11: Machine Learning Programming with TensorFlow 2.0.
Erscheinungsjahr: | 2020 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxvii
290 S. 111 s/w Illustr. 290 p. 111 illus. |
ISBN-13: | 9781484259665 |
ISBN-10: | 1484259661 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Silaparasetty, Nikita |
Auflage: | 1st edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 18 mm |
Von/Mit: | Nikita Silaparasetty |
Erscheinungsdatum: | 22.09.2020 |
Gewicht: | 0,487 kg |
Gain comfort in the Jupyter Notebooks environment, which makes programming in Python even easier
Build a basic understanding of more complex Machine Learning concepts and how TensorFlow simplifies them in practice
Program advanced applications using the familiar Python language
Chapter 1: An Overview of Artificial Intelligence.- Chapter 2: An Overview of Machine Learning.- Chapter 3: Introduction to Deep Learning.- Chapter 4: Machine Learning Versus Deep Learning.- Chapter 5: Machine Learning with Python.- Chapter 6: Introduction to Jupyter Notebooks.- Chapter 7: Python Programming on the Jupyter Notebook.- Chapter 8: The Tensorflow Machine Learning Library.- Chapter 9: Programming with Tensorflow 1.0.- Chapter 10: Introducing TensorFlow 2.0.- Chapter 11: Machine Learning Programming with TensorFlow 2.0.
Erscheinungsjahr: | 2020 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxvii
290 S. 111 s/w Illustr. 290 p. 111 illus. |
ISBN-13: | 9781484259665 |
ISBN-10: | 1484259661 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Silaparasetty, Nikita |
Auflage: | 1st edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 18 mm |
Von/Mit: | Nikita Silaparasetty |
Erscheinungsdatum: | 22.09.2020 |
Gewicht: | 0,487 kg |