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神经网络与深度学习

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神经网络与深度学习

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Total class hours：6.84hour Number of courses：27section 87people have learned

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1.课程内容

课程以理论教学和实践操作为主线，内容包括神经网络和深度学习的基本概念、深度学习模型的训练和优化、深度网络框架的结构和特点(CNN/RNN/Transformer)、项目实战等，帮助学员更好地理解和应用深度学习技术。课程内容由浅入深，配备了教材、实验指导手册、结课测验等，让大家了解深度学习在哪里应用、如何应用，并实操训练自己的AI。

2.适合人群

对人工智能和机器学习感兴趣的学生、教师、开发者和从业人员。

3.课程开发团队

由山东大学计算机科学与技术学院副教授、博士生导师甘甜带队，带领博士和硕士研究生完成课程开发，确保了课程内容的科学性、先进性和实用性。

甘甜简介：山东大学计算机科学与技术学院副教授，博士生导师。担任CSIG多媒体专委会副秘书长、IJCAI 2023资深程序委员、ACM MM 2023领域主席、ICIMCS 2019和ACM MM Asia 2020出版主席，在多个相关领域的国际顶级学术期刊及会议，如CVPR、ACM MM、ACL、AAAI、IEEE TIP、IEEETMM等上发表多篇论文。

4.课程社区

加入课程交流社区，解锁学习资料、实训公开课早鸟名额等社群福利，与伙伴们打卡学习、共同进步。