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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-and-deep-learning-techniques/
课程评论：没有评论
课程名称：人工智能与深度学习技术 课程概述：该课程旨在提供有关人工智能（AI）和机器学习（ML）在现实世界中问题表述和解决的知识。学员将能够通过了解知识和推理方法来给面试官留下深刻印象，同时展示对非信息和信息搜索技术程序的示例，以解决现实世界的问题。课程采用情景导向学习，涵盖人工智能和深度学习的所有技术，深入探讨深度学习和神经网络中的学习原理。 课程内容包括： - 对构建智能计算机系统的基本技术的广泛理解以及AI在问题中的应用。 - 打造深度学习基础，学习有效的应用。 - 参与行业项目，作为行业专家在客户端工作。 - 理解问题表述以及构建智能代理的知识。 - 掌握应用于现实世界问题的搜索技术程序。 - 理解逻辑类型和知识表示方案。 - 获取规划和学习算法的知识。 - 深入了解人工智能的应用及其进展。 - 构建和训练深度神经网络，识别关键架构参数，实施向量化神经网络并将深度学习应用于项目。 - 处理训练集和测试集，分析深度学习应用中的方差，使用标准技术和优化算法构建神经网络。 - 创建一个优秀的作品集，展示全面的人工智能与深度学习技术。 该课程旨在帮助学员建立扎实的深度学习基础，掌握行业所需的各种技术和方法，增强在人工智能领域的竞争力。
The course Artificial Intelligence and Deep learning techniques provides the ,Knowledge on problem formulation and solving in AI and ML for real world situation,Impress interviewers by showing an understanding of the Knowledge and Reasoning Approaches with the learning techniques,exemplify the uninformed and informed search technique procedures for real world problems,Scenario based learning for all Artificial Intelligence and Deep learning techniques,Deep knowledge about Learning in Deep Learning and Neural Networks,Provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. Build your deep learning foundations and learn effective applications,Work on curated industry Projects in cliennt side as a industry Expert, Gain knowledge in problem formulation and building intelligent agents, Understand the search technique procedures applied to real world problems, Understand the types of logic and knowledge representation schemes, Acquire knowledge in planning and learning algorithms, Gain knowledge in AI Applications and advances in Artificial Intelligence, Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications, Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks, Build a goodl portfolio with entire Artificial Intelligence and Deep learning techniques
