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Kursteilnehmer-Bewertung und -Feedback für Getting started with TensorFlow 2 von Imperial College London

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16 Bewertungen

Über den Kurs

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-Bewertungen

CL

May 20, 2020

Although there is lacking feedback on instructor team on the forum, I would highly recommend the course in terms of the content.

SM

Apr 22, 2020

A great course for those who already have some knowledge of deep learning. Concepts are explained in very well way.

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1 - 16 von 16 Bewertungen für Getting started with TensorFlow 2

von LiangTian

May 09, 2020

This class is excelent for beginers to learn tf2. this class mainly talked about practice ,and it is useful to build basic deeplearning models

von Akshay K A

May 18, 2020

Course is very well designed and very well for learning tensorflow higher level api's. Peer graded assignment was very frustrating as it will take so much time to reflect that you are passed or not. Happy Learning!!

von SibTi M

Apr 22, 2020

A great course for those who already have some knowledge of deep learning. Concepts are explained in very well way.

von CLAUDIO C D R

May 10, 2020

Well designed course, with the final Capstone project covering all the aspects involved in a MLP.

von guillaume

May 01, 2020

Excellent course with videos and assignment.

von Canh S L

May 20, 2020

Although there is lacking feedback on instructor team on the forum, I would highly recommend the course in terms of the content.

von Vivek K

May 21, 2020

Very good for those people who have knowledge of deep learning and want a hands-on in TensorFlow 2

von Jerry C

Jun 21, 2020

Great and clearly taught course for anyone with basic knowledge of Python and neural networks.

von Baskar

May 27, 2020

Well defined course. I got a very good experience. well planned handson session. Thank You

von Lim G

Jun 25, 2020

Provides detailed coverage of tensorflow 2's fundamentals. Thoroughly enjoyed the course.

von Debashis G

Jun 25, 2020

An excellent course for those who want to learn how to implement tensorflow2.0

von TUHIN B P

May 30, 2020

It is an excellent course for beginners in Tensorflow

von HIMALAYA S

May 28, 2020

Loved the course. Really practical and hands-on.

von Santiago G

May 20, 2020

Thanks for all, really useful course!

von Sina A N

Jun 26, 2020

Good beginner

von Dziem N

Jun 22, 2020

The programming examples are very helpful. Thank you...