ISBN-13: 9781484270912 / Angielski / Miękka / 2021 / 321 str.
ISBN-13: 9781484270912 / Angielski / Miękka / 2021 / 321 str.
Beginning-Intermediate user l;evel
Chapter 1: Deep Learning Perceptron
Chapter 5: Image to Image Translation with GANs
Covers: Pix2Pix and DualGAN, side projects for understanding with ResNET and UNET, advanced network architectures for image classification/generation
Chapter 6: Translating Images with Cycle ConsistencyCovers: Cycle consistency loss and the CycleGAN, BiCycleGAN and StarGAN
Chapter 7: Styling with GANs
Covers: StyleGAN, Attention and the Self-attention GAN with a look at DeOldify
Micheal Lanham is a proven software and tech innovator with more than 20 years of experience. During that time, he has developed a broad range of software applications in areas including games, graphics, web, desktop, engineering, artificial intelligence (AI), GIS, and machine learning (ML) applications for a variety of industries as an R&D developer. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development. He is an avid educator, has written more than eight books covering game development, extended reality, and AI, and teaches at meetups and other events. Micheal also likes to cook for his large family in his hometown of Calgary, Canada.
The emergence of artificial intelligence (AI) has brought us to the precipice of a new age where we struggle to understand what is real, from advanced CGI in movies to even faking the news. AI that was developed to understand our reality is now being used to create its own reality.
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