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深度学习简介

Introduction To Deep Learning
课程网址: https://ocw.mit.edu/courses/6-s191-introduction-to-deep-learning-...  
主讲教师: Alexander Amini; Ava Soleimany
开课单位: 麻省理工学院
开课时间: 2020-01-01
课程语种: 英语
中文简介:
这是麻省理工学院关于深度学习方法的入门课程,可应用于计算机视觉、自然语言处理、生物学等!学生将获得深度学习算法的基础知识,并获得在 TensorFlow 中构建神经网络的实践经验。课程以项目提案竞赛结束,并听取了工作人员和行业赞助商小组的反馈。先决条件假设微积分(即取导数)和线性代数(即矩阵乘法),我们将尝试解释其他所有内容!Python 经验是有帮助的,但不是必需的。
课程简介: This is MIT’s introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), and we’ll try to explain everything else along the way! Experience in Python is helpful but not necessary.
关 键 词: 深度学习; 入门课程; 计算机视觉
课程来源: 麻省理工学院公开课
数据采集: 2024-03-18:chenjy
最后编审: 2024-03-18:chenjy
阅读次数: 11