Chevron Left
Voltar para Sequence Models

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

4.8
estrelas
26,842 classificações
3,180 avaliações

Sobre o curso

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 Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a 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 take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Melhores avaliações

WK
13 de Mar de 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!

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.

Filtrar por:

2776 — 2800 de 3,170 Avaliações para o Sequence Models

por Keith J

27 de Jul de 2020

Great Course on giving an Introduction to RNN and basic NLP architectures !!

por Yogesh J

26 de Mai de 2020

Please allow students to complete assignment from scratch. Without any help.

por Philippe T

29 de Out de 2018

More exemple than Only NLP would have been nice ! But overall a great course

por Emanuel V

2 de Abr de 2018

This is a good course. However, this topic deserves much more detailed work.

por J V

24 de Abr de 2020

Great Content with real-time example looking forward to doing more courses

por Andrius T

2 de Nov de 2019

Please remove repetitions from videos, really annoying thing. Great job :)

por Luca C

13 de Out de 2019

Awesome notebooks to gain practical experience with deep learning systems.

por Philippe A

21 de Out de 2018

This course is very interesting! Again! It requires basic Keras knowlegde.

por EZ

18 de Fev de 2018

Course is excellent. Assignment, however, could use some more refinement.

por Attili S

12 de Ago de 2020

It would be good to extend some more detailed explanation in this course

por Sebastian M

7 de Abr de 2019

need some reviewing in the optional parts of the programming assignments

por Guan W

10 de Mar de 2018

Excellent course content, but poor maintenance of programming assignment

por Filip V

25 de Fev de 2018

Provides good exposure to sequence models for NLP and speech processing.

por Xirui Z

7 de Abr de 2021

Instructions for labs are not clear enough, especially the layers part.

por Mandeep S G

25 de Jan de 2020

Great exercises but videos were slightly rushed. Overall a good course.

por Vinod C

29 de Abr de 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

por Chen L

14 de Mar de 2018

The content is great, but the programming exercises are full of errors.

por Xiao

8 de Mar de 2018

Some techniques for keras need to be clarified. Generally a good course

por Jon M

7 de Jul de 2021

I liked this particular set of lectures, too, now on to something new.

por Vamvakaris M

8 de Set de 2019

It required coding on keras and tensorflow not appropriate introduced.

por Rafael B d S

6 de Ago de 2019

The Course is great! But the programming assignments has too many bugs

por Gorden

12 de Dez de 2018

it's very difficult to submit last programming exercise "trigger word"

por Ishan S

27 de Jun de 2020

More clarification on what we are doing in the programming exercises

por Emanuel G

13 de Dez de 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.