Beginning Deep Learning with TensorFlow 2: Work with Keras, MNIST Data Sets, and Advanced Neural Networks Paperback / softback - 2022
by Xiangming Zeng
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- Paperback
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Details
- Title Beginning Deep Learning with TensorFlow 2: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
- Author Xiangming Zeng
- Binding Paperback
- Condition New
- Pages 713
- Volumes 1
- Language ENG
- Publisher Apress
- Publication date 2022-01-28
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # B9781484279144
- ISBN 9781484279144 / 148427914X
- Weight 2.24 lbs (1.02 kg)
- Dimensions 9.21 x 6.14 x 1.48 in (23.39 x 15.60 x 3.76 cm)
- Category Computers - General Information
- Quantity available 10
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From the publisher
From the rear cover
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.
Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer!
You will:
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.
Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer!
You will:
- Develop using deep learning algorithms
- Build deep learning models using TensorFlow 2
- Create classification systems and other, practical deep learning applications
