Your cart is currently empty!
Tag: Diffusion
Diffusion and Use of Geographic Information Technologies: Proceedings of the NAT
Diffusion and Use of Geographic Information Technologies: Proceedings of the NAT
Price : 242.41
Ends on : N/A
View on eBay
URAL ConferenceThe use of Geographic Information Technologies (GIT) has become increasingly prevalent in various fields such as urban planning, environmental management, and disaster response. The diffusion of GIT has been facilitated by advancements in technology, making it more accessible and user-friendly for a wider range of users.
The proceedings of the NATURAL Conference on the diffusion and use of GIT provide valuable insights into the current trends and challenges in this field. Researchers and practitioners from around the world have come together to share their experiences and expertise, highlighting the innovative applications and potential benefits of GIT.
Topics covered in the conference include spatial data analysis, remote sensing, GIS mapping, and the integration of GIT with other technologies such as artificial intelligence and machine learning. Case studies and research findings presented at the conference demonstrate the wide-ranging impact of GIT on decision-making processes and policy development.
Overall, the proceedings of the NATURAL Conference offer a comprehensive overview of the current state of GIT diffusion and use, highlighting the potential for further advancements in this rapidly evolving field. Researchers, practitioners, and policymakers alike can benefit from the insights shared in these proceedings, gaining valuable knowledge to inform their own practices and initiatives.
#Diffusion #Geographic #Information #Technologies #Proceedings #NAT, Data Management
Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models
Price: $36.54
(as of Dec 25,2024 11:06:33 UTC – Details)
ASIN : B0CTHPCMQ6
Publisher : Academic Press; 3rd edition (December 6, 2024)
Publication date : December 6, 2024
Language : English
File size : 90604 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Enabled
Print length : 1194 pages
Page numbers source ISBN : 0443292388
Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion ModelsMachine learning has come a long way since its inception, evolving from classic algorithms like linear regression and decision trees to more advanced models such as deep neural networks, transformers, and diffusion models.
The classic machine learning algorithms, such as linear regression and decision trees, laid the foundation for modern machine learning techniques. These algorithms are still widely used today for tasks such as regression, classification, and clustering. However, as data and computational power have grown, more complex models have emerged.
Deep neural networks, inspired by the structure of the human brain, have revolutionized machine learning. These networks are capable of learning intricate patterns in data and have been successfully applied to tasks such as image and speech recognition, natural language processing, and autonomous vehicles.
Transformers, introduced in 2017, have further pushed the boundaries of machine learning. These models are based on a self-attention mechanism, allowing them to process sequences of data more efficiently than traditional recurrent neural networks. Transformers have been instrumental in advancements in natural language processing, with models like BERT and GPT-3 achieving state-of-the-art performance on various tasks.
Diffusion models, a recent development in machine learning, leverage the principles of physics to model complex systems. These models have shown promise in generating high-quality images, videos, and text, as well as in solving challenging optimization problems.
As machine learning continues to advance, it is essential to stay updated on the latest developments and techniques. From the classics to deep networks, transformers, and diffusion models, there is a vast array of tools and algorithms available to tackle a wide range of tasks. By understanding and leveraging these models, we can unlock the full potential of machine learning in various applications.
#Machine #Learning #Classics #Deep #Networks #Transformers #Diffusion #Models
Godox ML-CD15 Diffusion Dome for Godox V1 V1Pro AD100PRO AD200PRO V860III V860II V850II TT685II TT685 TT600 TT560II TT520II TT660S AD200 ML30 ML30Bi ML60 ML60Bi AD300PRO AD400PRO
Price: $29.00
(as of Dec 25,2024 10:52:41 UTC – Details)
From the brand
Godox was Founded in 1993
Godox has now become a equipment expert for photographers, videographers, filmmakers and more.
Wistro Outdoor Flash
Round Head on Camera Flash
Favourite accessories
Why Godox?
Driven by the mission of offering great lighting and audio solutions, Godox has been always pushing the boundaries of technology, and constantly bringing professional products to the industries.
Our Vision
Godox has been committed to providing consumers with professional and high quality lighting solutions in photography, enabling more people to enjoy the fun of light shaping.
Our Mission
By the vision of becoming a leading manufacturer with a world-renowned brand, we hope to continuously contribute to the development of lighting industry.
Macro Flash MF12
Pleasant Softness: Wrap your light into the dome and you will get pleasant softness for beauty look. Load Free Soft material as a new choice makes them lightweight and flexible in shape, easily to be squeezed as small as possible for storage or transportation
More Possibilities than You Expect: Collapsible design opens several ways to shape light. Use diffusion dome in fully extension for 360-degree lighting, or collapses theback to diffuse at 180 degrees, and when collapsing the front, you can change the light quality for more dimensionality
Round head adapter: Round head adapter is applicable to all Godox round head flash, such as V1, V1Pro series flashes, AD100Pro Pocket Flash, and H200R
Rectangle to round head adapter: Rectangle to round head adapter is applicable to most square head flash, such as Godox V860II,V860II,V850II, TT685II, TT685, TT600, TT560II, TT520II, TT660S, AD200 square head flash and square head flashes of other brands.(Noted: the ML-CD15 Diffusion Dome can’t fit TT350 Camera Flash)
Godox mount adapter: Godox mount adapter is applicable to all Godox video lights, such as ML30, ML30Bi, ML60, ML60Bi, AD300PRO, AD400PRO
Noted: the ML-CD15 Diffusion Dome can’t fit TT350 Camera FlashCustomers say
Customers appreciate the product’s light quality, flash diffusion, and value for money. They find it effective for adding light to most situations and suitable for use in flashes. Many consider it portable and lightweight, making it worth the price. They also appreciate its durability and ease of use, although opinions differ on how well it fits.
AI-generated from the text of customer reviews
Introducing the Godox ML-CD15 Diffusion Dome, the perfect accessory for your Godox V1, V1Pro, AD100PRO, AD200PRO, V860III, V860II, V850II, TT685II, TT685, TT600, TT560II, TT520II, TT660S, AD200, ML30, ML30Bi, ML60, ML60Bi, AD300PRO, and AD400PRO flash units.This diffusion dome is designed to soften and spread the light output from your flash, creating a more natural and flattering lighting effect for your photography. Whether you’re shooting portraits, events, or any other type of photography, the Godox ML-CD15 Diffusion Dome will help you achieve professional-looking results.
Easy to attach and detach, this diffusion dome is a versatile and practical addition to your lighting setup. Don’t miss out on the opportunity to elevate your photography with the Godox ML-CD15 Diffusion Dome. Get yours today!
#Godox #MLCD15 #Diffusion #Dome #Godox #V1Pro #AD100PRO #AD200PRO #V860III #V860II #V850II #TT685II #TT685 #TT600 #TT560II #TT520II #TT660S #AD200 #ML30 #ML30Bi #ML60 #ML60Bi #AD300PRO #AD400PRO
PyTorch for Generative AI: A Practical Guide to GANs, Diffusion, and Transformers for Realistic AI Generation
Price: $16.99
(as of Dec 24,2024 12:05:26 UTC – Details)
Generative AI has gained immense popularity in recent years, with techniques like Generative Adversarial Networks (GANs), Diffusion Models, and Transformers leading the way in generating realistic and high-quality AI-generated content. One of the most popular frameworks for implementing these techniques is PyTorch, a deep learning library that provides a flexible and efficient platform for building and training neural networks.In this practical guide, we will explore how PyTorch can be used to implement state-of-the-art generative AI models, including GANs, Diffusion Models, and Transformers. We will walk through the implementation of each of these models, providing code examples and step-by-step instructions to help you get started with generative AI using PyTorch.
GANs, which consist of a generator and a discriminator network, have been widely used for generating realistic images, videos, and text. We will show you how to implement a GAN in PyTorch, training it on a dataset of your choice to generate new and realistic content.
Diffusion Models, on the other hand, are a powerful class of generative models that can generate high-quality samples by iteratively refining a noise input. We will demonstrate how to implement a diffusion model in PyTorch, allowing you to generate realistic and diverse samples with ease.
Finally, we will explore how PyTorch can be used to implement Transformers, a versatile architecture that has been successful in generating text, images, and music. We will provide a detailed walkthrough of implementing a Transformer model in PyTorch, enabling you to generate realistic and coherent AI-generated content.
Whether you are a beginner or an experienced deep learning practitioner, this guide will equip you with the knowledge and tools needed to harness the power of PyTorch for generative AI. By the end of this guide, you will have a solid understanding of how to implement GANs, Diffusion Models, and Transformers in PyTorch, opening up a world of possibilities for realistic AI generation.
#PyTorch #Generative #Practical #Guide #GANs #Diffusion #Transformers #Realistic #Generation
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
Price: $7.99
(as of Dec 24,2024 09:49:58 UTC – Details)
Generative AI has been making waves in the tech industry, allowing for the creation of realistic and creative content such as images, text, and even music. If you’re a beginner interested in diving into the world of applied generative AI, you’ve come to the right place. In this post, we’ll cover some practical knowledge on diffusion models, ChatGPT, and other large language models (LLMs) that you can start experimenting with.Diffusion models are a type of generative model that can be used for image generation and manipulation. These models work by iteratively applying a series of transformations to a base image, gradually making it more realistic. One popular diffusion model is DALL-E, which was developed by OpenAI and is capable of generating images from textual prompts.
ChatGPT, on the other hand, is a large language model that can be used for generating human-like text responses. By training on vast amounts of text data, ChatGPT is able to understand context and generate coherent responses to input prompts. This can be useful for creating chatbots, generating dialogue, or even assisting with writing tasks.
Other LLMs, such as GPT-3 and BERT, are also powerful tools for natural language processing tasks. These models can be fine-tuned for specific applications, such as sentiment analysis, text summarization, and question-answering. By leveraging pre-trained LLMs, developers can save time and resources on training their own models from scratch.
Overall, applied generative AI offers endless possibilities for creativity and innovation. By familiarizing yourself with diffusion models, ChatGPT, and other LLMs, you can start exploring the exciting world of generative AI and unlocking new opportunities for your projects. So, why wait? Dive in and start experimenting with these cutting-edge technologies today!
#Applied #Generative #Beginners #Practical #Knowledge #Diffusion #Models #ChatGPT #LLMs
Hands-on Generative Ai With Transformers and Diffusion Models, Paperback by S…
Hands-on Generative Ai With Transformers and Diffusion Models, Paperback by S…
Price :81.72– 69.56
Ends on : N/A
View on eBay
Hands-on Generative Ai With Transformers and Diffusion Models, Paperback by S…Are you interested in diving deep into the world of generative AI, transformers, and diffusion models? Look no further than this comprehensive guide, now available in paperback!
In this hands-on book, explore the cutting-edge techniques and technologies that are revolutionizing the field of artificial intelligence. Learn how to leverage transformers and diffusion models to create stunningly realistic and novel AI-generated content.
Whether you’re a seasoned AI professional or just starting out, this book provides step-by-step instructions, practical examples, and insightful explanations to help you master these advanced AI concepts. From understanding the principles behind transformers and diffusion models to implementing them in your own projects, this book covers it all.
Don’t miss out on this invaluable resource for anyone interested in pushing the boundaries of AI and creating truly groundbreaking generative content. Order your copy today and start exploring the endless possibilities of transformers and diffusion models in AI!
#Handson #Generative #Transformers #Diffusion #Models #Paperback #S..
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, C,
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, C,
Price : 110.99
Ends on : N/A
View on eBay
and GANsGenerative Artificial Intelligence (AI) has been a rapidly growing field in recent years, with exciting advancements in the development of models that can generate realistic images, videos, and text. One of the most popular and powerful generative AI techniques is the use of Diffusion Models, C, and Generative Adversarial Networks (GANs). In this post, we will introduce beginners to these concepts and provide practical knowledge on how to apply them in projects.
Diffusion Models:
Diffusion Models are a class of generative models that aim to model the data distribution by iteratively updating a set of particles. These models are based on the concept of diffusing particles through a high-dimensional space to generate samples from the data distribution. One of the key advantages of diffusion models is their ability to generate high-quality samples with controllable diversity.
C:
C is a programming language commonly used in the development of generative AI models. It is known for its efficiency and versatility, making it a popular choice for implementing complex algorithms. Beginners looking to work on generative AI projects should have a basic understanding of C to effectively implement and optimize their models.
Generative Adversarial Networks (GANs):
GANs are a type of generative model that consists of two neural networks – a generator and a discriminator. The generator network is trained to generate realistic samples, while the discriminator network is trained to distinguish between real and fake samples. Through a competitive training process, GANs can generate highly realistic images, texts, and videos.
Practical Applications:
To apply generative AI techniques in real-world projects, beginners can start by implementing simple diffusion models or GANs using popular deep learning frameworks such as TensorFlow or PyTorch. By experimenting with different architectures and hyperparameters, beginners can gain valuable insights into the inner workings of generative AI models.
In conclusion, applied generative AI techniques such as Diffusion Models, C, and GANs offer exciting opportunities for beginners to explore the world of artificial intelligence and create innovative projects. By gaining practical knowledge and hands-on experience with these techniques, beginners can unlock their creativity and contribute to the advancement of generative AI technology.
#Applied #Generative #Beginners #Practical #Knowledge #Diffusion #Models
Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero
Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero
Price : 76.52
Ends on : N/A
View on eBay
Hands-On Generative AI with Transformers and Diffusion Models by Omar SansevieroIn the world of artificial intelligence, generative models have become increasingly popular for their ability to create new and realistic data. Two of the most cutting-edge generative models are Transformers and Diffusion models, which have been making waves in the AI community for their impressive capabilities.
In his latest book, “Hands-On Generative AI with Transformers and Diffusion Models,” AI expert Omar Sanseviero takes readers on a deep dive into these powerful models, providing a comprehensive guide to understanding and implementing them in real-world projects. With hands-on examples and practical exercises, Sanseviero helps readers master the fundamentals of generative AI and leverage the full potential of Transformers and Diffusion models.
Whether you’re a seasoned AI professional looking to expand your skillset or a newcomer to the field interested in cutting-edge technologies, this book is a must-read. Get ready to unlock the power of generative AI and take your projects to the next level with “Hands-On Generative AI with Transformers and Diffusion Models” by Omar Sanseviero.
#HandsOn #Generative #Transformers #Diffusion #Models #Omar #Sanseviero
Image generative AI Stable Diffusion start guide manga anime Japanese Book
Image generative AI Stable Diffusion start guide manga anime Japanese Book
Price :69.67– 66.19
Ends on : N/A
View on eBay
Are you interested in learning how to create stunning images using generative AI technology? Look no further than Stable Diffusion, a powerful AI tool that allows you to produce unique and captivating visuals.In this start guide manga anime Japanese book, you will learn the basics of using Stable Diffusion to generate beautiful images inspired by manga and anime styles. Whether you are a seasoned artist or a beginner looking to explore the world of AI art, this book is the perfect resource for mastering this cutting-edge technology.
With step-by-step instructions and helpful tips, you will be able to create your own masterpieces in no time. Immerse yourself in the world of AI art and unlock your creative potential with Stable Diffusion.
Get your copy of the Image generative AI Stable Diffusion start guide manga anime Japanese book today and start creating stunning visuals like never before!
#Image #generative #Stable #Diffusion #start #guide #manga #anime #Japanese #Book
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, Ch
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, Ch
Price :74.38– 61.98
Ends on : N/A
View on eBay
and GANsIn this post, we will explore the basics of Applied Generative AI for beginners, focusing on diffusion models and GANs (Generative Adversarial Networks). Generative AI has become increasingly popular in recent years, with applications in image generation, text generation, and more.
Diffusion models are a type of generative model that models the conditional distribution of the next data point given all previous data points. This allows for the generation of high-quality samples that capture the underlying distribution of the data. Diffusion models have been used in various applications, including image generation and video prediction.
On the other hand, GANs are a type of generative model that consists of two neural networks – a generator and a discriminator. The generator generates samples, while the discriminator tries to differentiate between real and generated samples. Through this adversarial training process, GANs can produce realistic samples that fool the discriminator.
In this post, we will cover the basics of both diffusion models and GANs, including how they work, their applications, and how to get started with implementing them. Stay tuned for more practical knowledge on Applied Generative AI for beginners!
#Applied #Generative #Beginners #Practical #Knowledge #Diffusion #Models
