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You're reading from  Deep Learning with TensorFlow and Keras – 3rd edition - Third Edition

Product typeBook
Published inOct 2022
PublisherPackt
ISBN-139781803232911
Edition3rd Edition
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Authors (3):
Amita Kapoor
Amita Kapoor
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Amita Kapoor

Amita Kapoor is an accomplished AI consultant and educator, with over 25 years of experience. She has received international recognition for her work, including the DAAD fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. After teaching for 25 years at the University of Delhi, Amita took early retirement and turned her focus to democratizing AI education. She currently serves as a member of the Board of Directors for the non-profit Neuromatch Academy, fostering greater accessibility to knowledge and resources in the field. Following her retirement, Amita also founded NePeur, a company that provides data analytics and AI consultancy services. In addition, she shares her expertise with a global audience by teaching online classes on data science and AI at the University of Oxford.
Read more about Amita Kapoor

Antonio Gulli
Antonio Gulli
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Antonio Gulli

Antonio Gulli has a passion for establishing and managing global technological talent for innovation and execution. His core expertise is in cloud computing, deep learning, and search engines. Currently, Antonio works for Google in the Cloud Office of the CTO in Zurich, working on Search, Cloud Infra, Sovereignty, and Conversational AI.
Read more about Antonio Gulli

Sujit Pal
Sujit Pal
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Sujit Pal

Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora.
Read more about Sujit Pal

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Style transfer

Style transfer is a funny neural network application that provides many insights into the power of neural networks. So what exactly is it? Imagine that you observe a painting done by a famous artist. In principle, you are observing two elements: the painting itself (say the face of a woman, or a landscape) and something more intrinsic, the “style” of the artist. What is the style? That is more difficult to define, but humans know that Picasso had his own style, Matisse had his own style, and each artist has his/her own style. Now, imagine taking a famous painting of Matisse, giving it to a neural network, and letting the neural network repaint it in Picasso’s style. Or, imagine taking your own photo, giving it to a neural network, and having your photo painted in Matisse’s or Picasso’s style, or in the style of any other artist that you like. That’s what style transfer does.

For instance, go to https://deepart.io/ and see...

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Deep Learning with TensorFlow and Keras – 3rd edition - Third Edition
Published in: Oct 2022Publisher: PacktISBN-13: 9781803232911

Authors (3)

author image
Amita Kapoor

Amita Kapoor is an accomplished AI consultant and educator, with over 25 years of experience. She has received international recognition for her work, including the DAAD fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. After teaching for 25 years at the University of Delhi, Amita took early retirement and turned her focus to democratizing AI education. She currently serves as a member of the Board of Directors for the non-profit Neuromatch Academy, fostering greater accessibility to knowledge and resources in the field. Following her retirement, Amita also founded NePeur, a company that provides data analytics and AI consultancy services. In addition, she shares her expertise with a global audience by teaching online classes on data science and AI at the University of Oxford.
Read more about Amita Kapoor

author image
Antonio Gulli

Antonio Gulli has a passion for establishing and managing global technological talent for innovation and execution. His core expertise is in cloud computing, deep learning, and search engines. Currently, Antonio works for Google in the Cloud Office of the CTO in Zurich, working on Search, Cloud Infra, Sovereignty, and Conversational AI.
Read more about Antonio Gulli

author image
Sujit Pal

Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora.
Read more about Sujit Pal