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AI Capstone Project with Deep Learning (으)로 돌아가기

IBM의 AI Capstone Project with Deep Learning 학습자 리뷰 및 피드백

강좌 소개

In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning. Learning Outcomes: • determine what kind of deep learning method to use in which situation • know how to build a deep learning model to solve a real problem • master the process of creating a deep learning pipeline • apply knowledge of deep learning to improve models using real data • demonstrate ability to present and communicate outcomes of deep learning projects...
필터링 기준:

AI Capstone Project with Deep Learning 의 4개 리뷰 중 1~4

교육 기관: Theodore G

Jan 19, 2020

Very good start, but expertise with Deep Learning is driven by actually dealing with your own issues, not following a known issue. Far more difficult to develop and grade, but would illustrate a level of mastery. This one illustrate a knowledge level of how things work. This course should be folded into the individual courses (Keras & PyTorch AI courses) instead.

교육 기관: Adriano A S

Jan 17, 2020

Curso com muitos problemas didáticos. Explicacões incompletas. Existe um material do Keras que é cobrado como nota, porém que não está disponível no curso. Fiquei completamente frustrado com o conteúdo do curso.

교육 기관: Mark C

Jan 17, 2020

Materials don't appear to be finished for the course, lots of spelling mistakes throughout.

교육 기관: Frank

Jan 16, 2020

Too much of the course was being developed as the students were trying to take it.