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

4.8
130件の評価
50件のレビュー

コースについて

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence 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 a custom neural translation 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 follows on directly from the previous course Getting Started with TensorFlow 2. The additional 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, CNN, RNN, ResNet), and concepts such as transfer learning, data augmentation and word embeddings....

人気のレビュー

DN
2020年8月4日

The lectures are clear and the coding assignments are very relevant and practical. The final project is complex but it is very rewarding once you complete it.

DT
2020年11月23日

I learned a lot from this course, thanks for providing this wonderful course. Can't wait to complete the last one, Probability with Tensorflow 2.

フィルター:

Customising your models with TensorFlow 2: 26 - 50 / 52 レビュー

by Fabio K

2020年12月29日

Excellent. This course is an extension of the 'Getting started with TensorFlow 2'. Highly recommended.

by James S

2020年11月25日

Excellent Course. I had to go through the lectures one more time to complete the project.

by Wong H S

2020年11月2日

Awesome content! The practical knowledge does help me in my FYP research, thanks a lot.

by fan c

2021年3月28日

Very good! Fully learn the TF Framework customization skills to release creativity.

by Anwar R

2022年1月9日

Great follow up for the first course by going deeper to Tensorf Flow 2.0

by Goh K L

2022年1月3日

Good course to build on the foundational knowledge of the first course.

by Rajendra A

2021年7月16日

Excellent course materials, videos, lab sessions and capstone project.

by Chanseok K

2020年12月15日

Great lecture for enhancing your tensorflow implementation

by Renato K (

2020年12月23日

Really good course!!! :) Thanks for your support!!!

by Fernando S

2020年12月14日

Awesome course, the best tensorflow advanced course

by Hazem A

2020年12月24日

Great Course .. one of the best in TF practices ..

by Gustavo X A M

2021年2月22日

Great experience, excellent material....

by Ragul N

2021年1月11日

Assignments were challenging but doable.

by Meng O L

2021年2月24日

Excellent! Good learning material

by Jeffrey B

2021年1月27日

Great course, I learned a lot!

by Jac G

2021年5月25日

Dr. Kevin Webster thank you.

by Javier G

2021年9月15日

A challenging course!!

by Ho P D

2021年6月30日

Nice and comprehensive

by Aleksander M

2020年10月26日

Amazing course!

by Marios K

2020年11月20日

Nice course :)

by Nguyen B L

2021年4月23日

Great course

by Diego A A R

2021年4月8日

Very usefull

by Natthakorn K

2021年9月10日

Great!

by Rob S

2020年10月22日

Interesting course. However, I didn't find the videos as clear as Course 1.

by Anup K

2021年6月10日

Excellent Course .. but with difficult passing levels.