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Getting started with TensorFlow 2 に戻る

インペリアル・カレッジ・ロンドン(Imperial College London) による Getting started with TensorFlow 2 の受講者のレビューおよびフィードバック

4.9
463件の評価

コースについて

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....

人気のレビュー

MM

2021年1月24日

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!

AA

2021年3月17日

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.

フィルター:

Getting started with TensorFlow 2: 126 - 150 / 157 レビュー

by Bhasker D

2021年7月12日

Excellent Course, Thank you Kevin

by Mike M

2022年5月28日

Just what the ML doctor ordered.

by fan c

2021年3月28日

Very good. Basic but Systematic.

by Zhongtian Y

2020年9月23日

Easy to understand! Nice course!

by José P

2021年4月18日

Nice course, thank you all!

by Ragul N

2020年11月23日

Best course on Tensorflow 2

by akshaykiranjose

2022年6月6日

thanks, guys at imperial

by Dai Q T

2020年9月21日

Best Tensorflow Course!

by Hugo R V A

2021年9月16日

Just amazing! Perfect!

by Duc A L

2021年2月19日

Good course to learn

by Mohammed A

2022年1月25日

outstanding course!

by Айрапетян Ж С

2021年1月28日

Great intro to tf2.

by MoChuxian

2020年10月27日

very nice course!!!

by Nguyen T S

2022年1月24日

Excellent course!

by Gustavo X A M

2020年11月18日

Excellent course

by Wong H S

2020年11月2日

Awesome content!

by Huang P

2021年2月24日

great course!

by Yuzhe D

2020年12月28日

Great course

by Engr. M S K

2022年3月7日

Best Course

by Meng O L

2020年10月27日

Awesome

by Zikun X

2020年12月11日

Great

by J H v d M

2021年4月24日

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

by mgbacher

2021年4月10日

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 Deeplearning.ai. 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.

by Christian C

2020年8月24日

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.

by Daniel H

2021年4月1日

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.