Sequence Models
DeepLearning.AI · View on Coursera ↗
Taught by Andrew Ng, Kian Katanforoosh, Younes Bensouda Mourri
Data ScienceComputer Science
About the course
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Emb
The dissent
The most-upvoted critical review (46 votes, 1.0★).
“Tons of editing errors in lectures, and the programming problems rely more on knowledge of Keras (essentially untaught throughout the course) than they do on understanding of lecture material. A disgraceful end to an otherwise solid course sequence.”
Coursera's 4.8 comes from 31,299 ratings. Of those, 0.8% are 1–2★.
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Reviews read on 23 Oct 2026.Read them on Coursera ↗