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Sequence Models,

13,756 Bewertungen
1,537 Bewertungen

Über diesen Kurs

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....


von WK

Mar 14, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

von JY

Oct 30, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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1,520 Bewertungen

von Subhadeep Dash

May 19, 2019

Excellent course, helped me a lot in understanding RNNs and LSTMs

von Shilin Sergey

May 18, 2019

Feels again like authors tried to put everything into just a couple of weeks, thus the course turned out to be messy with lots of details hidden. Even though there was a lot to learn, I am still not sure if I understand correctly how to build a simple sequence model.

von Zebin Chen

May 18, 2019

This course is hard to learn. It requires a lot of basic concepts about NLP and RNN. Fortunately, programming exercises have effectively deepened my understanding of these concepts.

von Erick Xavier Zúniga Vásquez

May 18, 2019

The programming assingments have some errors.

von Duván Alberto Gómez Betancur

May 18, 2019


von manish kumar mandal

May 17, 2019

The most wonderful platform to learn machine learning i did not find any other online resource even near to the coursera.

von Saurabh Sawarkar

May 17, 2019

Very informative course

von AlexanderLiu

May 17, 2019

Nice courses!

von AMRICHE Atef Alla Eddine

May 16, 2019

The course is another great addition to the specialization. Very well designed and delivered. A big thank you to the Professor Andrew Ng and his team as well as Coursera. It was a great experience and I am very pleased that I took the entire specialization.

von Karthik ganesan

May 16, 2019

Awesome course