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Learner Reviews & Feedback for Getting started with TensorFlow 2 by Imperial College London

4.9
stars
579 ratings

About the Course

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....

Top reviews

YY

Dec 2, 2022

The course is really well desired. I got a chance to practise all the key knowledge through the assignments. All the explanation is clear and concise.

FS

Nov 13, 2020

Awesome course, the best basic Keras course at 糖心vlog官网观看, it should be more promoted, after so much time using TensorFlow, I've just found it now.

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126 - 150 of 188 Reviews for Getting started with TensorFlow 2

By Ilya L

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Sep 24, 2023

Excellent introduction to the key Tensorflow modules/tools.

By Rajendra A

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Jun 15, 2021

Excellent course videos, lab sessions and capstone project.

By Matias A

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May 20, 2021

Great course, many examples plus a code-along on each unit.

By Hugh G

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May 25, 2021

Thanks to the team, this course was very useful and clear!

By Houssam B

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Nov 16, 2021

Very informative course, everything was well explained

By Yasir A

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Nov 30, 2020

A very good course. It was organised and easy to learn.

By Dennis L

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Jan 1, 2024

Outdated Tensorflow version used and not much support

By Dmytro K

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Dec 8, 2023

One of the best courses for Deep Learning on 糖心vlog官网观看

By Andreas J

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Jan 31, 2021

Unusually well-constructed course for being online.

By Allyson D d L

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May 2, 2022

Very nice course, introductory but very complete.

By GCCC

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Jan 2, 2024

Outdated Tensorflow version used and no support

By Aleksander M

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Sep 27, 2020

Amazing, exceptionally well-structured course!

By Demian E

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Feb 16, 2021

Thanks a lot for a great learning experience!

By Artem K

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Sep 22, 2020

Amazing course!!! I love such tasks and prjs.

By Mohan S S T

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Sep 19, 2020

a hands-on practical course to take upon !!

By Vishal S

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Jul 7, 2021

Overall good course. Got to learn a lot!!

By Fanchao C

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Nov 30, 2020

BEST tensorflow introductory course ever!

By Lorenzo S C

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Jul 12, 2025

Amazing course! Definitely recommended.

By Armaghan S

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Mar 17, 2022

absolutely amazing course for begineers

By Zsolt P

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Aug 21, 2021

Finally a course with sufficient depth.

By wang w

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Apr 20, 2021

A friendly introduction to Tensorflow.

By 20-522 G M

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Mar 20, 2023

A great course to start in Tensorflow

By Yannick P

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Dec 2, 2020

Very clear and instructive, thank you

By Than Q D

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Nov 11, 2020

Exellent course! Thank you very much!

By Nguy峄卬 Q A

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Feb 10, 2022

This is a good programe for beginner