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Bewertung und Feedback des Lernenden für Getting started with TensorFlow 2 von Imperial College London

463 Bewertungen
153 Bewertungen

Über den Kurs

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....



24. Jan. 2021

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. Sep. 2020

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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126 - 150 von 157 Bewertungen für Getting started with TensorFlow 2

von Bhasker D

12. Juli 2021

Excellent Course, Thank you Kevin

von Mike M

28. Mai 2022

Just what the ML doctor ordered.

von fan c

28. März 2021

Very good. Basic but Systematic.

von Zhongtian Y

23. Sep. 2020

Easy to understand! Nice course!

von José P

18. Apr. 2021

Nice course, thank you all!

von Ragul N

23. Nov. 2020

Best course on Tensorflow 2

von akshaykiranjose

6. Juni 2022

thanks, guys at imperial

von Dai Q T

21. Sep. 2020

Best Tensorflow Course!

von Hugo R V A

16. Sep. 2021

Just amazing! Perfect!

von Duc A L

19. Feb. 2021

Good course to learn

von Mohammed A

25. Jan. 2022

outstanding course!

von Айрапетян Ж С

28. Jan. 2021

Great intro to tf2.

von MoChuxian

27. Okt. 2020

very nice course!!!

von Nguyen T S

24. Jan. 2022

Excellent course!

von Gustavo X A M

18. Nov. 2020

Excellent course

von Wong H S

2. Nov. 2020

Awesome content!

von Huang P

24. Feb. 2021

great course!

von Yuzhe D

28. Dez. 2020

Great course

von Engr. M S K

7. März 2022

Best Course

von Meng O L

27. Okt. 2020


von Zikun X

11. Dez. 2020


von J H v d M

24. Apr. 2021

If it were not for the difficulties encountered with using some of the online Labs, esp. the Capstone project, would have been 5 stars (which I rarely give).

I had to resort to using my own 2016 vintage Asus laptop w. 1070 GPU to get the Capstone going; the Lab totally gummed up.

All in all excellent course also as refresher. On to completing the next two now.

Thanks a lot, Jan van de Mortel

von mgbacher

10. Apr. 2021

The course is a good introduction to applicable deep learning using Keras. Do not expect any mathematical derivations. These you would need to gather from other courses such as I enjoyed the quizzes. The capstone project could be made more challenging by exploiting different aspects of layers, benchmarking pre-trained networks, and training strategies.

von Christian C

24. Aug. 2020

For me, the course lived up to its name. It was not too theory-focused, and focused really on getting started with TensorFlow 2. The programming exercises, which use different well-known datasets, are designed just enough to not feel being spoon-fed. The peer-reviewed capstone project is also a great experience.

von Daniel H

1. Apr. 2021

A clearly organized and presented course. The capstone project may be a bit challenging because you will need to recall what you learned and apply it to what you may already know or need to go research. It's worth the effort.