All current Neural Networks Courses courses in 2024
426 Courses
Introduction to Artificial Intelligence
Gain a comprehensive understanding of artificial intelligence with our extensive course, incorporating knowledge from diverse fields such as philosophy, brain science, mathematics, and computing. This program delves into various AI types, including perceptual, cognitive, language, and behavioral intelligence.
Discover fundamental concepts and st.
Deep Learning, Neuronale Netze und TensorFlow in Python
Werde ein Experte im Deep Learning mit diesem umfassenden Kurs zur Mathematik und Praxis neuronaler Netze, unter Verwendung von Keras und TensorFlow in Python. Diese 2024 Edition bietet aktuelle Inhalte und praktische Einblicke in die Welt des Machine Learnings.
微软--计算机视觉论文分享课
随着云计算、大数据和机器学习的迅速发展,计算机视觉作为人工智能领域的核心技术之一,近年来取得了诸多突破性进展。如今,不论是在学术界、工业界,还是在初创企业中,计算机视觉都备受关注!CVPR会议是由IEEE主办的计算机视觉和模式识别领域的顶级会议。为了推动国内计算机视觉研究的发展,强化工业界与学术界的交流,微软亚洲研究院主办,清华大学媒体与网络技术教育部-微.
基于神经网络模型的开放领域对话系统研究
参与这次由XuetangX提供的中文讲座,深入研究基于神经网络的开放领域对话系统。在此次课程中,您将探索自然语言处理的核心概念、深度学习架构以及能够实现与人类相似互动的会话式人工智能技术。这个课程是为希望提升自己在机器学习、深度学习及相关领域技能的学习者设计的。
人工智能技术与应用
This course is tailored for engineering management graduate students, integrating artificial intelligence theory, experiments, and engineering practice. Theoretical topics include an introduction to AI, knowledge representation and graphs, search strategies, genetic algorithms, swarm intelligence, neural networks, machine learning, deep learni.
AI TIME:深度推荐系统的探索与实践
AI TIME: 深度推荐系统的探索与实践
Delve into the world of deep recommendation systems with our in-depth lecture conducted in Chinese, brought to you by XuetangX. This course offers a comprehensive exploration of both the theoretical underpinnings and practical implementations of recommendation algorithms. Engage with key concepts and examine how.
论文一作学者分享大模型前沿研究
论文一作学者分享大模型前沿研究
Discover the forefront of AI advancement by learning about the latest developments in large language models from a lead research author. This Chinese-language academic presentation offers a unique opportunity to acquire deep technical understanding of current research directions, innovative methodological approac.