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Вернуться к Customising your models with TensorFlow 2

Отзывы учащихся о курсе Customising your models with TensorFlow 2 от партнера Имперский колледж Лондона

Оценки: 145
Рецензии: 56

О курсе

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models. You will put concepts that you learn about into practice straight away in practical, hands-on coding tutorials, which you will be guided through by a graduate teaching assistant. In addition there is a series of automatically graded programming assignments for you to consolidate your skills. At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop a custom neural translation model from scratch. TensorFlow is an open source machine library, and is one of the most widely used frameworks for deep learning. The release of TensorFlow 2 marks a step change in the product development, with a central focus on ease of use for all users, from beginner to advanced level. This course follows on directly from the previous course Getting Started with TensorFlow 2. The additional prerequisite knowledge required in order to be successful in this course is proficiency in the python programming language, (this course uses python 3), knowledge of general machine learning concepts (such as overfitting/underfitting, supervised learning tasks, validation, regularisation and model selection), and a working knowledge of the field of deep learning, including typical model architectures (MLP, CNN, RNN, ResNet), and concepts such as transfer learning, data augmentation and word embeddings....

Лучшие рецензии


4 авг. 2020 г.

The lectures are clear and the coding assignments are very relevant and practical. The final project is complex but it is very rewarding once you complete it.


22 мая 2022 г.

highly recommend for everyone. The course and material is well designed will help you gain insight from Tensorflow and ML project workflow.

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1–25 из 59 отзывов о курсе Customising your models with TensorFlow 2

автор: SANJAY P

4 сент. 2020 г.

This is honestly one of the best courses I've ever done. I had completed the Tensorflow in Practise specialization by a couple of months back and took up this course as a refresher but this ended up being so much more! The lecture videos are top quality and explain the basics really well and the coding tutorial videos helped me get some much-needed practice. This course stays true to its name and covers important topics like designing custom models using the Model Subclassing API and using custom training loops. The assignments are very relevant to the course content and the capstone project, when finished, leaves you with a real sense of accomplishment and pride!

автор: Dat N

5 авг. 2020 г.

The lectures are clear and the coding assignments are very relevant and practical. The final project is complex but it is very rewarding once you complete it.

автор: Jon S

6 июля 2021 г.

The gap between the programming assignments and the cap stone projects is to wide

автор: Kanji O

18 авг. 2020 г.

This is the best TF course in Coursera. The 4th week for Model subclassing and custom training loops is really informative and fantastic, which gives us full flexibility on TF model construction and training process.

автор: Patrick H

3 сент. 2020 г.

Very well organized tour through Tensorflow 2 API, I learned a lot and enjoyed the course

автор: Chaowalit B

17 июля 2020 г.

great course

автор: Harshwardhan P

15 сент. 2020 г.

In short, take this course if you want a challenging course where you can learn TensorFlow 2 in depth.

I will add to my review on the first course of the specialization.Kevin and the GTAs do a brilliant job at mainting the assignments and autograders and the learning community is really helpful too in case you get stuck in some part of the assignment or the capstone project. Highly recommended!

автор: LiangTian

26 июня 2020 г.

This class is very good , I learned enough knowledge of tensorflow ,such as how to use ,how to embedding, how to do tokenlization, also I learned how to build customized tensorflow models

автор: Zhongtian Y

21 окт. 2020 г.

It just the last assignment of making a translation model, I had no idea where to start. It would be nicer to include a video to explaining the encoder and decoder mechanism

автор: Borja G P

13 сент. 2020 г.

Excellent course! 100% recommended for anyone looking for more advanced TensorFlow knowledge.

автор: Maximilian

12 сент. 2020 г.

Excellent course!

автор: Andrew H N

16 июля 2021 г.

Overall, an exceptional and highly relevant course. I would have given it five stars, however some instructions on the capstone project were too vague, causing the project to take much more time to complete than is really necessary. Also, it appears that correctly completed neural network translators don't appear to produce very good translations, at least in the form we were asked to design, and I think there should be some comment about that from the instructor. Is it because the embeddings we were given were not that great? Was it because the network we designed was not deep enough to be effective, or was our custom training loop not well conceived? Thank you for developing and presenting this course. I especially appreciated Dr. Webster's clear and concise lecture videos. Overall, I thought the course nicely dovetailed with the two Andrew Ng courses I previously completed on Machine Learning and Deep Learning (with TensorFlow 1). This course helped me become a better programmer and was worth the effort I had to invest in it. Hopefully I will complete the final course in the specialization very soon, and launch my new career in AI software engineering!

автор: Sacha v W

9 авг. 2020 г.

I really like the course. It is repeated what I already knew but gave a lot of insight in customization. The high level course video are great they show the essence in a very clear and consice manner. I hope there are more courses like this coming. For me this was one of the best online courses I have done!!

автор: p.w.ouwehand

27 июня 2021 г.

Best (and also hardest) coursera course I've completed so far. I particularly appreciate how the course let one get to grips with the TF documentation: when I started this course, that documentation was pretty opaque and incomprehensible to me, but now I find it a very valuable resource. The forums were great for clearing up problems, though sometimes I had to look very hard. The capstone project took me about twice as long as the suggested time, but then, my python skills ain't the best, as yet.

автор: HOU Z C

4 нояб. 2020 г.

This course is very challenging, as require concrete understanding on tensorflow to conduct the whole project

автор: Artem K

30 сент. 2020 г.

Very useful course!!! Thanks!

автор: Ranjan R C

26 сент. 2020 г.

Scope for improvement, for the RNN, LSTM, and Bi Directional layers.

автор: Yuping Y

8 июля 2021 г.

Overall, not bad. But Capstone contains too much knowledge points that were taught in the previous labs and video lectures. A little stretch from the taught material is training and exercising, too much stretch is kind of waste of time. I took 4 weeks part timely to complete the Capstone project, which supposed to take an hour. And in general, I know my progress in other courses. So, I know this is out of the norm

автор: Juan C S S

27 июня 2022 г.

Such a great course! The content of the videos is concise and relevant. That said, it is always nice to take a look at the core of some topics if you want to have a better comprehension of them. I had to dedicate quite some time reading about RNNs to understand and not just imitate. Some labs, especially on week 3 might be better if they include some extra explanation of some of the code.

The capstone project is somewhat challenging but doable, and it's very rewarding once you complete it!

автор: Maxim V

7 апр. 2021 г.

Initially I wanted to do only Probabilistic DL (3rd course) because this material is not taught anywhere else as far as I am aware, but I learned quite a bit from other two courses as well even though I thought I knew the material. The entire specialisation is highly recommended, very good quality and very relevant content. The best of 2020 on Coursera, in my estimation.

автор: AustinQi

20 июня 2022 г.

G​reat course. Fairly speaking, this is not a easy one, since there is only a relatively small number of babysitting codes in the CapStone project. But, it worth every second spent after filling the knowledge gap between Capstone project and weekly excercises.

Thanks a lot, and hope to s​ee you guys in the Probabilitic Course3.

автор: John S

14 дек. 2020 г.

Absolutely fantastic. The material is presented in a wonderfully concise and lucid way. The difficulty level also ramps up in a way that you really end up testing your understanding of what you've learned. Highly recommended.

автор: Dai Q T

24 нояб. 2020 г.

I learned a lot from this course, thanks for providing this wonderful course. Can't wait to complete the last one, Probability with Tensorflow 2.

автор: mausci71

24 мая 2021 г.

Loved this course, loved this specialization, the team doesn't support you so you are left alone. But we may see it as a formative experience.

автор: Nguyen T S

23 мая 2022 г.

h​ighly recommend for everyone. The course and material is well designed will help you gain insight from Tensorflow and ML project workflow.