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Kursteilnehmer-Bewertung und -Feedback für Sequence Models von deeplearning.ai

4.8
18,137 Bewertungen
1,964 Bewertungen

Über den 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. 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....

Top-Bewertungen

AM

Jul 01, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

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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301 - 325 von 1,947 Bewertungen für Sequence Models

von Ankit S

Jul 13, 2018

This course was very good in terms of practical knowledge as it will keep challenging you in each and every assignment. It will make sure you utilize discussion forum thoroughly :) I loved it Course 4 and 5 are best.

von Ajita D

Jul 11, 2018

A very enjoyable course.Every concept is explained is very intuitive way by Andrew Ng.Thanks to all the organizers for such a wonderful course.All new concepts are also discussed.Anyone who wants to learn about AI ,should definitely opt for this course.

von 康一帅

Jul 12, 2018

谢谢coursera,谢谢吴恩达,谢谢deeplearning课程,受益匪浅

von Akshay J

Jul 12, 2018

Very well designed and effective teaching methodology.

von Michael D A

Jul 12, 2018

Super-nice! Thank you Professor Andrew Ng

von Mykola S

Jul 13, 2018

Great intro into Deep Learning! Thanks!

von Andrey

Feb 20, 2018

Awesome course! A bit harder than others but pretty good!

von Karl S

Feb 18, 2018

This should be required material for anyone going into deep learning from another field.

von Komal S

May 17, 2018

Extremely valuable

von ANGIRA S

Mar 31, 2018

Having done the previous courses or not, this course will teach a whole lot about the past, present and future of NLP. At the end, as Prof. Andrew Ng has said, one can feel proud about how easily a topic can be explained with the help of just one slide.

von Oleh.Davydiuk

May 06, 2018

While taking this course I was feeling that sequence modeling is Andrew Ng's favourite topic. Great course!

von Eyad E

Feb 22, 2018

Excellent course, just like all other courses of this specialisation. I highly recommend the whole specialisation for any one serious about DL. Thanks Prof Ng and thanks for his team for such great efforts.

von Adam S

Apr 08, 2018

Great course! Very step by step and very practical. The legend does it again.

von Jurassic

Apr 26, 2018

great course

von Nishant S

Feb 13, 2018

good course...assignments are great allowing one to understand the activities in detail.

von Matthew J C

Mar 28, 2018

The last course is in this series does not disappoint. I found this course to be more difficult than the others; likely because I had very little prior exposure to recurrent neural networks. However, this course is worth the effort as it opens up a realm of new possibilities; text, audio & time-series data. Whether you need to detect, classify or translate sequences, or even generate new sequences in the vein of some examples, this course is for you. There are several high-level APIs for performing these tasks but having a deeper understanding of what these APIs are doing is invaluable to your success. Take this course.

von Ricardo F

Feb 18, 2018

Another amazing course developed by Dr. Ng! This series of courses probably is the best deep learning training available on-line.

von Alouini M Y

Feb 20, 2018

This was for me the best course on the deeplearning.ai series since I am a complete novice regarding sequence models. Nonetheless, I have managed to learn a lot and the material was very good (with often state of the art techniques). The assignments were excellent as well!

von yangfan x

Mar 29, 2018

The video lectures are awesome. But the project is too fast-paced. I feel I am just following the instruction and keras doc, instead of understanding how keras works. Testing me how to create dict in Python didn't make me feel happy. Thanks!

von Alejandro A

Apr 15, 2018

A year ago I was basically "on blank" in regards of Machine Learning.

I've started "my journey" on ML about 9 months ago, with a text book I've got on Amazon called "Data Mining, Practical Machine Learning Tools and Techniques", Self taught I've read, transcribed, done some math, covered the half of it. But I needed something more practical to speed up, so I've tried also with the coursesfrom "Super Data Science"'s team on Udemy, but found them to be too focused on practice rather than deep reasoning of it (I might be wrong but that's the impression I had); So I needed more formal, University-like.

I've decided to try out Andrew's first course on Machine Learning (with Matlab), which gave me much greater view and understanding, had my head melting specially on weeks 4-6, but after finishing the course I've felt I did finally know what ML was! but still there was "a lot missing", given the course was already a bit old, and the technology had developed greatly since then.

Fortunately to me, I've found out about this specialisation right after I've finished the first course and I've signed up immediately. Today (14.4.2018) I've finished the second specialisation. After 6 months of continuos dedication, doing the first 3 month course, plus this 3 month specialisation.

Homeworks in Matlab and Python were my next challenge, even I'm a developer for 15 years (C# / Java, C). Combining a lot of new theory in a new language made it harder but also satisfying.

I'm the kind of person that needs to understand why things work as they work, that might be my weakness but also my strength; It's not enough for me to drive the car, but I need to know how to tune it. I must tell that for example, a video/lecture of 15 minutes meant to me usually 60 minutes of work, transcribing, doing the math, etc. That made my 6 months particularly long..

von Masayuki O

Feb 18, 2018

Very fun. I'm proud of my achivement!

von Wei H

Jun 10, 2018

Great lectures on the intuitions behind RNN and their applications in real life. It requires some self-exploration to complete the programming assignments related to Keras and tensor, but the structure of the assignment is very good. I have learned a lot from this lecture and it helped me to understand the language of the field of deep learning.

von Giuseppe N

Jul 09, 2018

Good Job

von Bonson S M

Jun 25, 2018

Very tough... but has concepts that were very useful for me.

von XIANJUN Z

Apr 10, 2018

Like the programming exercises!