Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
INSIDE GENERATIVE AI
Generative AI represents a groundbreaking frontier in the realm of artificial intelligence, where machines not only learn from data but also create new data, mimicking the inventive processes of human creativity. This book is a comprehensive guide that explores the depths of generative AI, from foundational concepts to advanced applications, and provides a rich array of hands-on projects and real-world case studies. Why Generative AI? In recent years, generative AI has transformed from a niche area of research to a central pillar of AI innovation, with profound implications for various industries. From generating realistic images and videos to composing music and writing compelling narrative...
Shout to the Lord
How music makes worship and how worship makes music in Evangelical churches Music is a nearly universal feature of congregational worship in American churches. Congregational singing is so ingrained in the experience of being at church that it is often misunderstood to be synonymous with worship. For those who assume responsibility for making music for congregational use, the relationship between music and worship is both promising and perilous – promise in the power of musical style and collective singing to facilitate worship, peril in the possibility that the experience of the music might eclipse the worship it was written to facilitate. As a result, those committed to making music for ...
Hand-held Visions
For almost forty years, DeeDee Halleck has been involved in a variety of projects that involve media making by "non-professionals." Her goal has been to develop a critical sense of the potential and limitations of mediated communication through practical exercises that generate a sense of both individual and non-hierarchical group power over the various apparati of media and electronic technology. Hand-Held Visions is a collection of essays, presentations, and lectures that she has written throughout this process. Halleck starts with a discussion of her own development as a teacher, producer, and an active participant in the struggle for media democracy. She gives the reader a historical first-person perspective on the community-based media movement and a sense of the determination and resolve that have enabled often fragile and much embattled organizations and individuals to survive in a climate dominated by global media corporations that are in direct opposition to their work.
Generative Adversarial Networks Projects
Explore various Generative Adversarial Network architectures using the Python ecosystem Key FeaturesUse different datasets to build advanced projects in the Generative Adversarial Network domainImplement projects ranging from generating 3D shapes to a face aging applicationExplore the power of GANs to contribute in open source research and projectsBook Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neura...
Extra!
None
Hands-On Generative Adversarial Networks with PyTorch 1.x
Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models Key FeaturesImplement GAN architectures to generate images, text, audio, 3D models, and moreUnderstand how GANs work and become an active contributor in the open source communityLearn how to generate photo-realistic images based on text descriptionsBook Description With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples. This book starts ...
New Art Examiner
The independent voice of the visual arts.
Hands-On Image Generation with TensorFlow
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch Key FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos into paintings, and generate photorealistic imagesDiscover how you can build deep neural networks with advanced TensorFlow 2.x featuresBook Description The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you’ll not only develop image generation skills but also gain a solid unders...
