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Вернуться к Getting started with TensorFlow 2

Отзывы учащихся о курсе Getting started with TensorFlow 2 от партнера Имперский колледж Лондона

Оценки: 419
Рецензии: 138

О курсе

Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading 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 an image classifier deep learning 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 is intended for both users who are completely new to Tensorflow, as well as users with experience in Tensorflow 1.x. The 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/feedforward and convolutional neural networks), activation functions, output layers, and optimisation....

Лучшие рецензии

24 янв. 2021 г.

I already knew the subject, so I was able to go fast, but I really loved the completeness of this course, the approach, the tests, and the capstone project. Basically everything. Very good indeed!

9 сент. 2020 г.

Excellent course with thorough practical exercises and most of all I love Kevin Webster teaching style.. Definitely a go to course for anyone who has some basic Deep Learning knowlegde.

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51–75 из 143 отзывов о курсе Getting started with TensorFlow 2

автор: Goh K L

13 дек. 2021 г.

This course is a good complement to the courses offered by in terms of focusing on the basic neural network coding. I like that the exercises in the Jupyter notebooks were left empty for students to type the codes. This encourages the students to pay attention the tutorial videos.

автор: Akash M

23 сент. 2020 г.

Intended for intermediate level students, is seriously one of the best courses with the right amount of rigour and testing. Thorough coverage of TF2; seriously would love more of such courses (apart from the specialisation) from Imperial College in this ever expanding field!

автор: Arish A

10 июня 2021 г.

Great course, i loved the fact that instructors were showing the use of Docs and the assignments in the course were nice. I like that the couse assumes a prior knowledge of Deeplearning and does not repeat them in great details here.

автор: Yevhen D

27 февр. 2021 г.

I recommend this course:

1) A lot of practices: assignments, notebooks, capstone project.

2) Theory videos are very clear and compact.

3) Authors don't try to teach you ML in 5 weeks, but instead require ML knowledge and focus on TF.

автор: Thales G

7 апр. 2021 г.

Good course. Short and very practical. It is not a basic course, as you need to know some aspects of Machine learning and Deep Learning. It opened my mind for other possibilities of use of neural networks.

автор: mausci71

25 янв. 2021 г.

I already knew the subject, so I was able to go fast, but I really loved the completeness of this course, the approach, the tests, and the capstone project. Basically everything. Very good indeed!

автор: AC

18 мар. 2021 г.

Provided clear and useful insight into TensorFlow 2. Before the course I had read many of the TF2 guides and tutorials. This course helped solidify my understanding of core TF concepts.

автор: Rob S

22 окт. 2020 г.

Excellent course! The project assignment provides a very good way to self-assess and see whether you really have understood the course material. It's a strong recommendation from me!

автор: Anudeep D

22 дек. 2020 г.

One of the best courses that i have taken on coursera. Clearly explanation of concepts and very good labs which give data scientist clear path to train models using tensorflow 2

автор: Hazem A

25 нояб. 2020 г.

Excellent Course .. One of the best for practicing Tensorflow . Great content and well designed assignments ... GTA did a good job though sometimes the accent is not very clear

автор: Fabio K

5 нояб. 2020 г.

Very good training. I certainly learned a lot and am getting used to this framework already. Some theoretical background in ML is highly recommended before taking this course.

автор: Gergely S

14 мар. 2021 г.

Working along with University PhD students is very helpful! Also, the explanations from Kevin are very detailed with good visualization (highlighted source code lines).

автор: Arash J

10 дек. 2020 г.

it is an awesome course for anyone with knowledge of deep learning to learn tensorflow. looking forward for other courses in the specialization to learn more.

автор: Fortià V

11 мая 2021 г.

This is a great course to gain experience using tensorflow 2 and also to reinforce the concepts of Convolutional Neural Networks. I strongly recommend it.

автор: Ricardo D

23 февр. 2021 г.

Very good course -- explained the basics of tensorflow 2; very confident at this point that I can start developing my own tensorflow/keras applications.

автор: Fernando S

13 нояб. 2020 г.

Awesome course, the best basic Keras course at Coursera, it should be more promoted, after so much time using TensorFlow, I've just found it now.

автор: Ton P

12 апр. 2021 г.

Very nice course, especially when you are already familiar with the deep learning concepts and just want to know how to code them in Tensorflow.

автор: Ajay A

22 нояб. 2021 г.

I​ndeed intermediate level course. Useful course. Well designed, focussed, clutter free, comprehensive. Rare to find such course on Coursera.

автор: LRAV

27 окт. 2020 г.

This course is terrific! All you need to start coding almost any DL model. Really good to get yourself comfortable with tensorflow.

автор: Shine B

10 янв. 2021 г.

A well structured and useful course. I definitely recommend it to anyone who is searching for a solid introduction to TensorFlow.

автор: Injae L

3 янв. 2022 г.

a very well structured course. If you have some knowledge of deep learning but have never used Tensorflow, this is for you.

автор: stephane d

30 дек. 2021 г.

Great course with Great teachers. Good complement to courses from Laurence Moroney, very good as well :-)

автор: Ivan O C

26 июня 2021 г.

Awesome course to get an updated in TensorFlow 2.0. The approach is very pragmatic without loss of rigor... congrats ICL

автор: Belen

23 февр. 2021 г.

This was very well explained and guided. I would love to continue learning on Artificial intelligence and data science.

автор: Daniel S A R

11 нояб. 2020 г.

It was a very good intro into the sequential API, the coding tutorials are really for beginers as me, thanks a lot!