Practical Deep Learning with PyTorch | Reinforcement Learning

Practical Deep Learning with PyTorch | Reinforcement Learning

PyTorch is one of the mainstream deep learning frameworks today, designed for minimal encapsulation and intuitive design, making PyTorch code easier to understand and very friendly for beginners. This article mainly introduces the reinforcement learning section in the field of deep learning. 1 What is Reinforcement Learning Reinforcement learning is an important branch of machine … Read more

Exclusive | 2024 AI Learning Roadmap (With Links)

Exclusive | 2024 AI Learning Roadmap (With Links)

Author: Benedict Neo February 9, 2024 Translator: Chen Zhiyan, Pan Lanyu Proofreader: Pan Lanyu This article is about 8000 words long and is recommended to read in 15 minutes. This article provides free courses for hackers and programmers to learn artificial intelligence. If you find this article helpful, please follow me on Twitter and LinkedIn! … Read more

Understanding the OpenMMLAB Framework (Based on PyTorch)

Understanding the OpenMMLAB Framework (Based on PyTorch)

What is OpenMMLab? To help more students avoid detours in reproduction and achieve comparisons of different settings in the same environment, The Chinese University of Hong Kong – SenseTime Joint Laboratory (MMLab) launched the OpenMMLab project. It is an open-source codebase for multiple important research areas, striving for better code quality and overall advantages compared … Read more

Artificial Intelligence Python Machine Learning and Deep Learning Training

1Training Overview With the rapid advancements in the fields of artificial intelligence, machine learning, and deep learning, the update and iteration of AI technologies have accelerated in recent years, bringing many new technologies worth learning. Various organizations and universities are increasingly seeking stronger capabilities in machine learning and deep learning to promote in-depth development of … Read more

A Review of Multimodal Explainable Artificial Intelligence: Past, Present, and Future

A Review of Multimodal Explainable Artificial Intelligence: Past, Present, and Future

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, 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 sectors of natural language processing and machine learning, especially for beginners. Reprinted … Read more

Overview of Multimodal Learning Based on Transformer Networks

Overview of Multimodal Learning Based on Transformer Networks

Click on the above“Beginner’s Guide to Vision” to choose to add to favorites or pin. Essential content delivered promptly The Transformer network architecture, as an exceptional neural network learner, has achieved great success in various machine learning problems. With the booming development of multimodal applications and multimodal big data in recent years, multimodal learning based … Read more

Overview of Multimodal Controllable Diffusion Models

Overview of Multimodal Controllable Diffusion Models

Source: Zhuanzhi This article is approximately 1500 words long and is recommended for a 5-minute read. This review provides a comprehensive classification framework, summarizing various forms of control techniques and strategies in diffusion model image synthesis, and explores the practical applications of controllable generation in different scenarios. Research Background: In recent years, the field of … Read more

The Future of Multimodality: Standing on the Shoulders of NLP Giants

The Future of Multimodality: Standing on the Shoulders of NLP Giants

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, with an audience that includes NLP graduate students, university professors, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. … Read more

A Review of Multimodal Composite Editing and Retrieval

A Review of Multimodal Composite Editing and Retrieval

Source: ZHUAN ZHI This article is a paper introduction, recommended reading time is 5 minutes. This review is the first comprehensive literature survey on multimodal composite retrieval, providing a timely supplement to existing multimodal fusion reviews. In the real world, information spans different modalities and is diverse. Understanding and utilizing various data types to improve … Read more

Ethics and Governance of AI in Health: A Multi-Modal Model Guide

Ethics and Governance of AI in Health: A Multi-Modal Model Guide

Editor’s Note With the rapid development of artificial intelligence technology, the health sector is constantly trying to improve medical quality and enhance work efficiency by introducing AI. Due to the ability of large model technology to process complex tasks on large-scale data, significantly enhancing the generalization, versatility, and practicality of AI, this technology has broad … Read more