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Volver a AI Capstone Project with Deep Learning

Opiniones y comentarios de aprendices correspondientes a AI Capstone Project with Deep Learning por parte de IBM

41 calificaciones
6 revisiones

Acerca del Curso

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...

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1 - 6 de 6 revisiones para AI Capstone Project with Deep Learning

por Eric

Jan 29, 2020

Course opened late. One instructor did not prepare his materials and the exercises were not even accessible. I will not be purchasing from Coursera in the future because of this specialization course. Truly a huge waste of money.

por Lam C V D

Feb 20, 2020

But need to study extra as these topics are not taught like Transfer Learning

por Yinias

Feb 06, 2020

The data from the course is not well prepared, some invalid pictures in the data. And also sometimes the IBM platform can not run the training well, loss connection and need several hours of time for training the model...

por Reinaldo L N

Feb 04, 2020

The docker environment by IBM is horrible. I just got to finish my course running all the notebooks locally (except for those at the Watson environment)

por Lee Y Y

Feb 09, 2020

Not well-prepared materials in Keras, especially in Week 3 (model-training) which took more than 3 hours to training and even not successfully.

por Nopthakorn K

Feb 10, 2020

Capstone project had delayed for a month, and after that the course resource also not ready.