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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
26,148 classificações
3,084 avaliações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Melhores avaliações

JY
29 de Out de 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.

AM
30 de Jun de 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.

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3026 — 3050 de 3,055 Avaliações para o Sequence Models

por Thomas A

10 de Out de 2019

The programming assignments really are like pulling teeth. There's not really enough guidance leading up to them.

por Mark

24 de Out de 2018

The course videos and the programming assignments were lacking. And there was no support in the forums.

por Jeffrey S

2 de Jun de 2018

Spent more time trying to work around a buggy grader than learning the underlying concepts.

por ZHANPENG T

23 de Out de 2019

Too hard to understand compared to the previous coursed in this specification.

por Hamid A

13 de Nov de 2020

Was very difficult. please add more expiation of mathematical equations.

por Sukeesh

18 de Abr de 2020

Little unsatisfied with the final part of the specialization.

por Arsh K

20 de Ago de 2019

Lack of Keras training made it often hard to do layer code.

por Tom T

9 de Jan de 2020

This course needs more instruction on Keras.

por Mark N

12 de Fev de 2018

Poor explanation for alot of things

por Milica M

10 de Mai de 2020

boring and uninformative

por João P B D

4 de Jan de 2019

Too difficult.

por Martin B

11 de Mar de 2018

Needs work.

por Alex L

5 de Mar de 2018

I feel sad.

por zhesihuang

3 de Mar de 2019

sucks

por Logos

31 de Ago de 2020

I have no idea how we're supposed to walk out of these courses with the knowledge of how to build a neural network. The practice exercises are a joke. It's a bunch of functions taken out of context, with "instructions" on how to complete each. I don't understand how to do any of it, and I passed all the quizzes.

This specialization gets good reviews because people love Andrew, and although I'm sure he's a great guy, these courses provide no real practical information on how to build neural networks from scratch. I don't even know where to begin, and at this point I'm just copying solutions from the internet to complete the projects so I can just get my completion certificate.

I only recommend taking this from a theoretical perspective. If you're looking to get started with deep learning from a practical standpoint, look elsewhere. This isn't worth it.

por Venkata D R S

19 de Out de 2020

I love Dr. Andrew, I seriously do. He has inspired me in the field of Deep Learning like no one else did. But I detest how this course is made so expensive and in a wrong direction. I subscribed and paid $225 and I still was not given a decent amount of time to finish the course, even when I asked for extension. If this is the way these courses are, its better of learning from youtube. It is not worth the money

por Franjo I

10 de Mai de 2020

Dry and uninformative. Immense space for improvement. Corrections should be made to videos instead of having numerous revisions comments after lecture. Some variables introduced haphazardly. Notation not explained well, some clashing with linear algebra conventions. Coding exercises are elementary hyper guided.

por Deleted A

8 de Set de 2020

I would like to abandon this course and stop paying for a course I want to prepare better before maybe launching a new attempt..

por Hasan A

1 de Mar de 2018

many ideas where not clear and more application use cases needed.

por Girish S

1 de Dez de 2020

Can't even see the programming assignments without paying money.

por srinivas a

24 de Mar de 2020

Not practical, Assignments can drain your energy.

por Khoa L T

28 de Fev de 2019

The explanation is not quite clear in this course

por Archideb S

30 de Set de 2020

Glitchy Notebook, Minimal assistance at forums.

por Seyhan E G

9 de Mai de 2018

This one is way more difficult than the rest:(

por Jainam S

27 de Mai de 2020

Poor and unclear explaination, waste of time