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學生對 伦敦帝国学院 提供的 Getting started with TensorFlow 2 的評價和反饋

463 個評分
153 條評論


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....




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!



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.


126 - Getting started with TensorFlow 2 的 150 個評論(共 157 個)

創建者 Bhasker D


Excellent Course, Thank you Kevin

創建者 Mike M


Just what the ML doctor ordered.

創建者 fan c


Very good. Basic but Systematic.

創建者 Zhongtian Y


Easy to understand! Nice course!

創建者 José P


Nice course, thank you all!

創建者 Ragul N


Best course on Tensorflow 2

創建者 akshaykiranjose


thanks, guys at imperial

創建者 Dai Q T


Best Tensorflow Course!

創建者 Hugo R V A


Just amazing! Perfect!

創建者 Duc A L


Good course to learn

創建者 Mohammed A


outstanding course!

創建者 Айрапетян Ж С


Great intro to tf2.

創建者 MoChuxian


very nice course!!!

創建者 Nguyen T S


Excellent course!

創建者 Gustavo X A M


Excellent course

創建者 Wong H S


Awesome content!

創建者 Huang P


great course!

創建者 Yuzhe D


Great course

創建者 Engr. M S K


Best Course

創建者 Meng O L



創建者 Zikun X



創建者 J H v d M


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

創建者 mgbacher


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.

創建者 Christian C


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.

創建者 Daniel H


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.