Generative deep training. Creative potential of neural networks
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Generative modeling is one of the most discussed topics in the field of artificial intelligence. Cars can be taught to draw, write and compose music. You yourself can plant artificial intelligence at the desk or easel, for this it is enough to get acquainted with the most relevant examples of generative models of deep learning: variational car codes, generative and aspect networks, models such as a code decoder and much more.
David Foster makes the architecture and methods of generative modeling clear and affordable, his tips and tips will make your models more creative and effective in training. You will start with the foundations of deep training on the basis of Keras, and then move to the most advanced algorithms.
- Understand how variational car coders change emotions in photographs
- Create a GAN network from scratch
- Detail work with generative text generation models
- Learn how generative models help agents perform tasks as part of training with reinforcement
- Study Bert, GPT-2, Progan, Stylegan and much more
David Foster makes the architecture and methods of generative modeling clear and affordable, his tips and tips will make your models more creative and effective in training. You will start with the foundations of deep training on the basis of Keras, and then move to the most advanced algorithms.
- Understand how variational car coders change emotions in photographs
- Create a GAN network from scratch
- Detail work with generative text generation models
- Learn how generative models help agents perform tasks as part of training with reinforcement
- Study Bert, GPT-2, Progan, Stylegan and much more
Author:
Author:David Foster
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
Series:
Series: bestsellers O`reilly
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1566-2
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