Chevron Left
Back to Getting started with TensorFlow 2

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

4.9
stars
570 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

MM

Jan 24, 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!

AA

Mar 17, 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.

Filter by:

151 - 175 of 185 Reviews for Getting started with TensorFlow 2

By Mike M

May 28, 2022

Just what the ML doctor ordered.

By fan c

Mar 28, 2021

Very good. Basic but Systematic.

By Zhongtian Y

Sep 23, 2020

Easy to understand! Nice course!

By Vassil

Aug 26, 2022

Very good learning experiene!

By José P

Apr 18, 2021

Nice course, thank you all!

By Ragul N

Nov 23, 2020

Best course on Tensorflow 2

By akshaykiranjose

Jun 6, 2022

thanks, guys at imperial

By Dai T

Sep 21, 2020

Best Tensorflow Course!

By Hugo R V A

Sep 16, 2021

Just amazing! Perfect!

By Duc A L

Feb 19, 2021

Good course to learn

By Mohammed A K

Jan 25, 2022

outstanding course!

By Айрапетян Ж С

Jan 28, 2021

Great intro to tf2.

By MoChuxian

Oct 27, 2020

very nice course!!!

By Alireza K

Aug 17, 2023

very good progects

By Nguyen T S

Jan 24, 2022

Excellent course!

By Gustavo X A M

Nov 18, 2020

Excellent course

By Wong H S

Nov 2, 2020

Awesome content!

By Peter W

Feb 24, 2021

great course!

By Yuzhe D

Dec 28, 2020

Great course

By Syed H M

May 29, 2024

Good course

By Engr. M S K

Mar 7, 2022

Best Course

By Adam H

Nov 29, 2022

Amazing!

By Meng O L

Oct 27, 2020

Awesome

By Fayas A

Jun 18, 2023

great

By Kellen X

Dec 11, 2020

Great