Five AI Script Tools Tested: Choose Your Creative Assistant in 3 Minutes

Five AI Script Tools Tested Choose Your Creative Assistant in 3 Minutes Since the beginning of the year, I wonder if everyone has been flooded with deepseek on their phones? On December 26, 2024, Deep Seek Company announced the v3 model, and less than a month later, on January 20, it followed up with the … Read more

Understanding Diffusion Models in Neural Networks

Understanding Diffusion Models in Neural Networks

This article will explain the essence, principle, and applications of diffusion models, helping you to understand diffusion models in one go. Diffusion Models The essence of diffusion models Definition of diffusion models:Diffusion Models are a new, advanced generative model used to generate data similar to the training data, capable of generating various high-resolution images. The … Read more

Soft Diffusion: Google’s New Framework for General Corruption Processes

Soft Diffusion: Google's New Framework for General Corruption Processes

Recently, diffusion models have become a research hotspot in the field of AI. Researchers from Google Research and UT-Austin have fully considered the ‘corruption’ process in their latest study and proposed a diffusion model design framework for a more general corruption process. We know that score-based models and Denoising Diffusion Probabilistic Models (DDPM) are two … Read more

The Disappeared Traces: Generative AI Images and the Reconstruction of Knowledge Framework in Image Hermeneutics

The Disappeared Traces: Generative AI Images and the Reconstruction of Knowledge Framework in Image Hermeneutics

As a major school of iconology, the Warburg School examines images within the context of art history, thus forming the basic knowledge framework of image hermeneutics. In traditional iconology, the primary objects of image interpretation are artistic images, while subsequent image hermeneutics strives to “catch up” with various emerging forms of images. However, this is … Read more

Principles and Implementation of Diffusion Models in PyTorch

Principles and Implementation of Diffusion Models in PyTorch

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning in China and abroad, … Read more

The Development of Generative Artificial Intelligence and Criminal Responsibility

The Development of Generative Artificial Intelligence and Criminal Responsibility

Abstract:The emergence of a new generation of generative artificial intelligence, represented by ChatGPT, is revolutionary and epoch-making. The existence and development of generative artificial intelligence will inevitably trigger a new round of explosion in social productivity, thereby determining significant changes in production relations. Currently, generative artificial intelligence like ChatGPT still falls within the realm of … Read more

Introduction to GAN: Framework and Training

Introduction to GAN: Framework and Training

Table of Contents What is GAN? What Can GAN Do? Framework and Training of GAN Similarities and Differences Between GAN and Other Generative Models Existing Problems of GAN Models (Continued from last issue) 3 Framework and Training of GAN Previously, we mentioned that GAN consists mainly of two parts: the generator model and the discriminator … Read more

Complete Theory Derivation, Proof, and Implementation of GAN

Complete Theory Derivation, Proof, and Implementation of GAN

Source: Machine Heart Author: Jiang Siyuan The length of this article is 8300 words, recommended reading time is 8 minutes This article will start from the original paper, using Goodfellow’s speech at NIPS 2016 and Li Hongyi’s explanation from National Taiwan University, to complete the derivation, proof, and implementation of the original GAN. This article … Read more

Comparing Two Major Generative Models in TensorFlow: VAE and GAN

Comparing Two Major Generative Models in TensorFlow: VAE and GAN

Proofread by: Zhu Jianghua Feng To ensure the quality of our publications and establish a good reputation, Data Dispatch has establishedthe “Typo Fund”, encouragingreaders to actively report errors. If you find any errors while reading this article, please leave a comment at theend of the article, or provide feedback in thebackground. After confirmation by the … Read more

Research Progress and Trends of Generative Adversarial Networks

Research Progress and Trends of Generative Adversarial Networks

CCF published a new issue of the “China Computer Science and Technology Development Report” in October 2018, detailing the research progress in ten directions, including the deep integration of AI and system software. We will share the highlights of the report in installments. Please join CCF and log in to the CCF digital library to … Read more