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Beginning Deep Learning with TensorFlow Work with Keras, MNIST Data Sets, and Advanced Neural Networks

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Beginning Deep Learning with TensorFlow Work with Keras, MNIST Data Sets, and Advanced Neural Networks

Sách keo gáy
 
 
Thể loại:Computers - Programming
 
Năm:2022
 
In lần thứ:1st ed.
 
Nhà xuát bản:Apress
 
Ngôn ngữ:english
 
Trang:785
 
 
ncorporate 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 and RNNs.
 
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!
 
What You'll Learn
 
• Develop using deep learning algorithms
 
• Build deep learning models using TensorFlow 2
 
• Create classification systems and other, practical deep learning applications
 
Who This Book Is For
 
Students,
programmers, and researchers with no experience in deep learning who
want to build up their basic skillsets. Experienced machine learning
programmers and engineers might also find value in updating their
skills.
 

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