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Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras
book

Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras

by Vinita Silaparasetty
July 2020
Intermediate to advanced
439 pages
6h 37m
English
Apress
Content preview from Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras
© Vinita Silaparasetty 2020
V. SilaparasettyDeep Learning Projects Using TensorFlow 2https://doi.org/10.1007/978-1-4842-5802-6_7

7. Image Deblurring

Vinita Silaparasetty1 
(1)
Bangalore, India
 

In the previous chapter we talked about image colorization, which is done using tools like Photoshop. Now let’s talk about another task that Photoshop is normally used for, but which we can automate using neural networks. In this chapter we will talk about image deblurring. We are going to use a generative adversarial network (GAN) combined with a VGG-16 for this project. First we will take a look at what a GAN is and how it works. Then we will take a closer look at what image deblurring is.

What Is a GAN?

Generative Adversarial Networks (GANs) are a powerful ...

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ISBN: 9781484258026Purchase LinkPublisher Website