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Sequence Models for Time Series and Natural Language Processing, Google Cloud

4.6
87 calificaciones
12 revisiones

Acerca de este Curso

This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. • Predict future values of a time-series • Classify free form text • Address time-series and text problems with recurrent neural networks • Choose between RNNs/LSTMs and simpler models • Train and reuse word embeddings in text problems You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together. Prerequisites: Basic SQL, familiarity with Python and TensorFlow...

Principales revisiones

por MD

Feb 03, 2019

Very good.The explanation of the RNN was very good but the tensor2tensor was very hard.

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13 revisiones

por Yunwei Hu

Feb 20, 2019

Too focused on GCP. Could be more on DL itself.

por Carlos Viejo

Feb 03, 2019

Excellent Sequence Models explanations and examples to learn from, I quite enjoyed all the fantastic tips and best practices recommended by Google, looking forward to the next course in the specialization.

por Mark Davey

Feb 03, 2019

Very good.The explanation of the RNN was very good but the tensor2tensor was very hard.

por ELINGUI Pascal Uriel

Jan 27, 2019

Great one!

por Arindam Ghoshal

Dec 20, 2018

No Doubt COURSERA is always best AND MNC like IBM,Google courses associated with coursera are MIND-BLOWING.

The Instructors are so great at Explanation Part that hardly anyone won't Understand All the Topics

I would love to thank all the INSTRUCTORS who created such a Awesome Content for us.

My Personal Ratings For All the Instructors: 100 / 100

por Raja Ranjith Garikapati

Dec 11, 2018

Good

por Elias Papachristos

Dec 04, 2018

I really loved it!

por Hemant Devidas Kshirsagar

Dec 01, 2018

Very informative, very much useful to my ongoing work on NLP.

por Harold Lawrence Marzan Mercado

Nov 25, 2018

This was a very interesting course on NLP and Time Series. My only concern is that some notebooks worked for python 2 mode and not for python 3. Also, the tensor 2 tensor lab could not be completed in 2 hours, as some of the training may take more than 3 hours to complete.

Overall, good information, great technology and great teachers.

Thank you.

por Печатнов Юрий

Nov 22, 2018

First quiz is very bad

But totally the course is interesting and I like it :)