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

4.8
estrelas
26,176 classificações
3,089 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

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.

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!

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2601 — 2625 de 3,060 Avaliações para o Sequence Models

por Sudhir K

23 de Dez de 2019

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

por Vaibhav C

20 de Fev de 2018

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

por GOURAB G R

16 de Fev de 2018

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

por Alisa K

7 de Fev de 2018

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

por Samuel W

24 de Ago de 2018

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

por Vanja T

18 de Fev de 2018

There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.

por Amit R B

28 de Jan de 2020

Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.

por Siddharth

27 de Mai de 2020

Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.

por Joachim A

21 de Dez de 2018

I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

por Marijan S

9 de Abr de 2020

Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

por vamsi v

6 de Out de 2019

assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

por Himanshu A

28 de Set de 2018

Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

por Qiang C

26 de Fev de 2018

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

por Anxo T A

22 de Nov de 2020

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

por Holman B

15 de Mar de 2019

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

por Anand S

7 de Mai de 2020

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

por Marcin K

30 de Set de 2019

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

por Naveen K m

7 de Jul de 2019

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

por Agustín D

10 de Abr de 2018

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.

por Paulo S

8 de Mar de 2018

Excellent course. It would be better, however, if I could easily download the course slides and notes for quick recap.

por Jérémy M

6 de Jun de 2020

Really nice course but some programmation exercises isn't well built. (Compared to the other courses of this section)

por Niranjan K

28 de Abr de 2020

Week 3 last assignment must be improved.I faced a lot of problems related to submission.All other aspects are amazing

por Li P Z

2 de Jan de 2020

Excellent as usual, but not quite up to the usual standards, I felt some of the lectures and exercises were rushed...

por Vincent P

16 de Out de 2019

Cool exercises and good explanation, just too much focus on text mining and too little on actual RNN's if you ask me.

por Václav R

5 de Ago de 2019

Nice intro in recurrent neural networks.

I'd prefer more focus on why the architectures are designed the way they are.