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Comentários e feedback de alunos de Getting started with TensorFlow 2 da instituição Imperial College London

463 classificações
153 avaliações

Sobre o curso

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....

Melhores avaliações


24 de jan de 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!


17 de mar de 2021

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.

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126 — 150 de 157 Avaliações para o Getting started with TensorFlow 2

por Bhasker D

12 de jul de 2021

Excellent Course, Thank you Kevin

por Mike M

28 de mai de 2022

Just what the ML doctor ordered.

por fan c

28 de mar de 2021

Very good. Basic but Systematic.

por Zhongtian Y

23 de set de 2020

Easy to understand! Nice course!

por José P

18 de abr de 2021

Nice course, thank you all!

por Ragul N

23 de nov de 2020

Best course on Tensorflow 2

por akshaykiranjose

6 de jun de 2022

thanks, guys at imperial

por Dai Q T

21 de set de 2020

Best Tensorflow Course!

por Hugo R V A

16 de set de 2021

Just amazing! Perfect!

por Duc A L

19 de fev de 2021

Good course to learn

por Mohammed A

25 de jan de 2022

outstanding course!

por Айрапетян Ж С

28 de jan de 2021

Great intro to tf2.

por MoChuxian

27 de out de 2020

very nice course!!!

por Nguyen T S

24 de jan de 2022

Excellent course!

por Gustavo X A M

18 de nov de 2020

Excellent course

por Wong H S

2 de nov de 2020

Awesome content!

por Huang P

24 de fev de 2021

great course!

por Yuzhe D

28 de dez de 2020

Great course

por Engr. M S K

7 de mar de 2022

Best Course

por Meng O L

27 de out de 2020


por Zikun X

11 de dez de 2020


por J H v d M

24 de abr de 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

por mgbacher

10 de abr de 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.

por Christian C

24 de ago de 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.

por Daniel H

1 de abr de 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.