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

(120 ratings)

Об этом курсе

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** 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 SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Advanced Machine Learning with TensorFlow on GCP’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Лучшие рецензии

автор: JW

Nov 11, 2018

Excellent course for those who know RNN. Knowledge is refreshed and techniques are consolidated. More details about Google ecosystem is introduced.

автор: MD

Feb 03, 2019

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

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Рецензии: 16

автор: Temuge Batpurev

Apr 26, 2019

Videos were too short. Explanations of the key concepts were really poor. Quiz in week 1 had error that was raised by the user 6 months ago and it is still not fixed. Coding section had library mismatch that led to errors. The presentation of the materials were good.

автор: Nguyễn Văn Long

Apr 14, 2019

pretty great

автор: vincent poncet

Feb 24, 2019

Several exercices do not work as described, with error messages.

Explanations of what we are doing are light.

автор: Yunwei Hu

Feb 20, 2019

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

автор: 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.

автор: Mark Davey

Feb 03, 2019

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

автор: ELINGUI Pascal Uriel

Jan 27, 2019

Great one!

автор: 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

автор: Raja Ranjith Garikapati

Dec 11, 2018


автор: Elias Papachristos

Dec 04, 2018

I really loved it!