The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play. - davidADSP/Generative_Deep_Learning_2nd_Edition
示例代码 可见githubhttps://github.com/davidADSP/Generative_Deep_Learning_2nd_Edition 图2-8 潜在空间图,按服装标签着色 我们还可以对潜在空间中点的总体分布进行以下观察: 1. 一些服装项目在很小的区域内呈现,而另一些则在更大的区域内呈现。 2.分布关于点(0, 0)不对称,或有界。例如,y 轴值为正的点比...
I constantly got this error, although I installed pkg-config, added /opt/homebrew and /opt/homebrew/bin to PATH, and I set up HDF5_DIR=/opt/homebrew/opt 46.21 Building h5py requires pkg-config unless the HDF5 path is explicitly specified...
This edition discusses the latest Midjourney's Niji models along with advanced prompts, photorealism, and niche-specific guides. What are the best Generative AI Books to Understand the Technology Behind It? Generative Deep Learning, by David Foster (2023) This book aims to equip machine learning ...
Deep generative modeling has a strong potential to accelerate drug design. However, existing generative models often face challenges in generalization due to limited data, leading to less innovative designs with often unfavorable interactions for unseen target proteins. To address these issues, we propose...
Generative AI is regarded as a major disruption to software development. Platforms, repositories, clouds, and the automation of tools and processes have be
Lagrangian turbulence lies at the core of numerous applied and fundamental problems related to the physics of dispersion and mixing in engineering, biofluids, the atmosphere, oceans and astrophysics. Despite exceptional theoretical, numerical and experim
As we showcased recently at NVIDIA GTC 2024, we united the capability of TinyML with LLM deployment, presenting an advanced lightweight AI system with deep, context-aware analysis that can be extended from the edge to the cloud: ●TinyML comes to life through ultra-low power senso...
(codechat-bison). The Codey APIs support the Go, GoogleSQL, Java, JavaScript, Python, and TypeScript languages, and Google Cloud CLI, Kubernetes Resource Model (KRM), and Terraform infrastructure as code. Codey competes with GitHub Copilot, StarCoder 2, CodeLlama, LocalLlama, DeepSe...
such as a deeper network with residual learning [5], Laplacian pyramid structure [6], residual blocks [1], recursive learning [7,8], densely connected network [9], deep back projection [10] and residual dense network [11]. Specifically, Lim et al. [20] propose EDSR model by removing ...