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Sequence Models

Coursera · deeplearning · 3 HN points · 2 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Sequence Models" from deeplearning.
Course Description

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.

deeplearning.ai 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.

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Provider Info
This course is offered by deeplearning on the Coursera platform.
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See also: all Reddit discussions that mention this course at reddsera.com.

Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
Feb 01, 2018 · 3 points, 0 comments · submitted by syltruong
There are several courses in this specialization. Only 3 are currently available for enrollment right now.

You can get the course material for free, but won't be able to get assignments graded.

Below are links for all of the courses.

Course 1: https://www.coursera.org/learn/neural-networks-deep-learning

Course 2: https://www.coursera.org/learn/deep-neural-network

Course 3: https://www.coursera.org/learn/machine-learning-projects

Course 4: https://www.coursera.org/learn/convolutional-neural-networks

Course 5: https://www.coursera.org/learn/nlp-sequence-models

To get the course material, you go to each course link and click on "Enroll". Then look for the "Audit" link at the bottom left of the modal dialog that comes up.

For those who are unfamiliar with coursera or interested in just the videos (and NO certificate) you can enroll in "AUDIT" mode:

AUDIT MODE: http://image.ibb.co/iwm0xF/ng.png

The deep-learning course consist of 5 subcourses:

https://www.coursera.org/learn/neural-networks-deep-learning

https://www.coursera.org/learn/deep-neural-network

https://www.coursera.org/learn/machine-learning-projects

https://www.coursera.org/learn/convolutional-neural-networks

https://www.coursera.org/learn/nlp-sequence-models

The deep-learning course is a different course than the prerequisite machine-learning course:

https://www.coursera.org/learn/machine-learning

forgotmysn
fast.ai also has a quality ML course
supermdguy
I love fast.ai's course, but I also appreciate having a solid and thorough free machine learning course. While fast.ai is good for getting onto the cutting edge of deep learning quickly, it doesn't go through a lot of material that most people in the machine learning industry are assumes to know.
smithsmith
Can the certificate be received by completing the course in audit mode and then paying at the end of the course.
flor1s
Thanks for the links! It seems like you can already browse the lecture videos of the first three courses!
ryanschneider
BTW, if you want to audit, you need to search for each course individually (or click seycombi's links above) and click the Enroll button there, there's no Audit option if you click Enroll on the full Specialization.
jjuel
Thank you for pointing this out! Was looking for the way to just audit it and could not figure it out.
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