The TensorFlow Workshop:
Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of tensors, neural networks, and deep learning Discover how to implement and fine-tune deep learning models...
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| Main Authors: | , , |
|---|---|
| Corporate Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
Packt Publishing
2021
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| Edition: | 1st edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781800205253/?ar |
| Summary: | Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of tensors, neural networks, and deep learning Discover how to implement and fine-tune deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics - learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learn Get to grips with TensorFlow's mathematical operations Pre-process a wide variety of tabular, sequential, and image data Understand the purpose and usage of different deep learning layers Perform hyperparameter-tuning to prevent overfitting of training data Use pre-trained models to speed up the development of learning models Generate new data based on existing patterns using generative models Who this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp th... |
| Item Description: | Online resource; Title from title page (viewed December 15, 2021) |
| Physical Description: | 1 Online-Ressource (600 Seiten) |
| ISBN: | 9781800205253 1800205252 |
Staff View
MARC
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| spelling | Moocarme, Matthew VerfasserIn aut The TensorFlow Workshop Moocarme, Matthew 1st edition. [Erscheinungsort nicht ermittelbar] Packt Publishing 2021 1 Online-Ressource (600 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title page (viewed December 15, 2021) Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key Features Understand the fundamentals of tensors, neural networks, and deep learning Discover how to implement and fine-tune deep learning models for real-world datasets Build your experience and confidence with hands-on exercises and activities Book Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics - learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learn Get to grips with TensorFlow's mathematical operations Pre-process a wide variety of tabular, sequential, and image data Understand the purpose and usage of different deep learning layers Perform hyperparameter-tuning to prevent overfitting of training data Use pre-trained models to speed up the development of learning models Generate new data based on existing patterns using generative models Who this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp th... TensorFlow Machine learning Neural networks (Computer science) Neural Networks, Computer Machine Learning Apprentissage automatique Réseaux neuronaux (Informatique) So, Anthony VerfasserIn aut Maddalone, Anthony VerfasserIn aut O'Reilly for Higher Education (Firm), MitwirkendeR ctb Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Moocarme, Matthew So, Anthony Maddalone, Anthony The TensorFlow Workshop TensorFlow Machine learning Neural networks (Computer science) Neural Networks, Computer Machine Learning Apprentissage automatique Réseaux neuronaux (Informatique) |
| title | The TensorFlow Workshop |
| title_auth | The TensorFlow Workshop |
| title_exact_search | The TensorFlow Workshop |
| title_full | The TensorFlow Workshop Moocarme, Matthew |
| title_fullStr | The TensorFlow Workshop Moocarme, Matthew |
| title_full_unstemmed | The TensorFlow Workshop Moocarme, Matthew |
| title_short | The TensorFlow Workshop |
| title_sort | tensorflow workshop |
| topic | TensorFlow Machine learning Neural networks (Computer science) Neural Networks, Computer Machine Learning Apprentissage automatique Réseaux neuronaux (Informatique) |
| topic_facet | TensorFlow Machine learning Neural networks (Computer science) Neural Networks, Computer Machine Learning Apprentissage automatique Réseaux neuronaux (Informatique) |
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