Chevron Left
Voltar para Sequence Models

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

4.8
estrelas
26,738 classificações
3,160 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:

3101 — 3125 de 3,134 Avaliações para o Sequence Models

por Siddharth S

29 de Mai de 2021

The transformer subclass programming exercise is super useless task. Spent hours on this task and learnt nothing.

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 Aldiyar K

12 de Mar de 2021

Oversimplifying material, such as not showing any math foundations and proofs, does not lead to an intrinsic understanding of the material as well as fill-the-gap assignments do not enhance comprehension.

I understand that the course is intended for the broad audience but will one be able to implement those Keras and TensorFlow algorithms on a moderately complex problem, which is the ultimate goal of these courses? Highly doubt it because the code is pre-written for students and step-by-step guide is provided. In my opinion, one could go straight to assignments and induct / deduct the answers.

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 Evan J

17 de Jun de 2021

W​eek 4 is impossible to follow both in lecture and in the assignements which is more than likely done intentionally as this is the last assignment before you can stop paying their monthly fee.

por Krishnamurthy N

2 de Abr de 2021

Grader is the worst and no help even in the forums inspite of getting the same output the grader is still failing and no one is telling why. Forced to drop out of this course now

por Inaki O d L

7 de Abr de 2021

Clearly the less structured and more confusing Course within the DeepLearning Specialization, a bittersweet end to an otherwise great set of courses. Quite disappointed.

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.