BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
eBook
Beginning Deep Learning with TensorFlow
Work with Keras, MNIST Data Sets, and Advanced Neural Networks
Apress
ISBN 978-1-4842-7915-1
Standardpreis
Bibliografische Daten
eBook. PDF
2022
XXIII, 713 p. 323 illus..
In englischer Sprache
Umfang: 713 S.
Verlag: Apress
ISBN: 978-1-4842-7915-1
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Professional and Applied Computing (R0) Professional and Applied Computing Apress Access Books
Produktbeschreibung
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners.
You'll start with an introduction to AI, where you'll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you'll jump into simple classification programs for hand-writing analysis. Once you've tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you'll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs andRNNs.
You will:
- Develop using deep learning algorithms
- Build deep learning models using TensorFlow 2
- Create classification systems and other, practical deep learning applications
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