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学生对 伊利诺伊大学香槟分校 提供的 Advanced Deep Learning Methods for Healthcare 的评价和反馈

课程概述

This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications....
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1 - Advanced Deep Learning Methods for Healthcare 的 1 个评论(共 1 个)

创建者 Thierry K

Apr 16, 2022

S​ome exercices are not well describe and the efficiency of "autograd" is really poor. So you must send your work without knowing if you are in the good direction and you only have 5 tries...

A​lso, nobody answer you when you're stuck somewhere, the staff team seems to be inexistant.