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You're reading from  Hands-On Image Generation with TensorFlow

Product typeBook
Published inDec 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838826789
Edition1st Edition
Languages
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Author (1)
Soon Yau Cheong
Soon Yau Cheong
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Soon Yau Cheong

Soon Yau Cheong is an AI consultant and the founder of Sooner.ai Ltd. With a history of being associated with industry giants such as NVIDIA and Qualcomm, he provides consultation in the various domains of AI, such as deep learning, computer vision, natural language processing, and big data analytics. He was awarded a full scholarship to study for his PhD at the University of Bristol while working as a teaching assistant. He is also a mentor for AI courses with Udacity.
Read more about Soon Yau Cheong

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Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “This is done using tf.gather(self.beta, labels), which is conceptually equivalent to beta = self.beta[labels], as follows.”

A block of code is set as follows:

attn = tf.matmul(theta, phi, transpose_b=True)attn = tf.nn.softmax(attn)

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

self.conv_theta = Conv2D(c//8, 1, padding='same',              	                   kernel_constraint=SpectralNorm(),  	 	                   name='Conv_Theta')

Any command-line input or output is written as follows:

$ mkdir css
$ cd css

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: “From the preceding architecture diagram, we can see that G1's encoder output concatenates with G1's features and feeds into the decoder part of G2 to generate high-resolution images.”

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Hands-On Image Generation with TensorFlow
Published in: Dec 2020Publisher: PacktISBN-13: 9781838826789

Author (1)

author image
Soon Yau Cheong

Soon Yau Cheong is an AI consultant and the founder of Sooner.ai Ltd. With a history of being associated with industry giants such as NVIDIA and Qualcomm, he provides consultation in the various domains of AI, such as deep learning, computer vision, natural language processing, and big data analytics. He was awarded a full scholarship to study for his PhD at the University of Bristol while working as a teaching assistant. He is also a mentor for AI courses with Udacity.
Read more about Soon Yau Cheong