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Voltar para Convolutional Neural Networks in TensorFlow

Comentários e feedback de alunos de Convolutional Neural Networks in TensorFlow da instituição

6,046 classificações
923 avaliações

Sobre o curso

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 2 of the TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Melhores avaliações

11 de Set de 2019

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

14 de Mar de 2020

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..

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851 — 875 de 915 Avaliações para o Convolutional Neural Networks in TensorFlow

por Geoff G

17 de Ago de 2020

The topics are explained very briefly.There is no in depth coverage of the mentioned topics

por Sajal C

31 de Mar de 2020

Course is good however there can be programming assignments for better practice.

por Javier I R

15 de Nov de 2020

Great course, but the last exam was miles away from the things presented on it.

por Ashish J

3 de Jul de 2020

this could have been better if object detection and segmentation was a part of

por Enyang W

6 de Nov de 2019

too easy! not much to learn actually. all the videos could be one lesson only

por vedansh s

13 de Set de 2019

The concepts are not as clear as in other courses.

Dissapointed a little bit

por Wellington B

5 de Ago de 2019

need to watch Andrew Ng's course on deep learning before watching this one

por Aditya S

17 de Jan de 2021

Week 4 assignment has a faulty csv file. Labels not correctly loaded

por Joey Y

4 de Ago de 2019

The course seems to be getting more loose than the first course.

por Moustafa A S

26 de Jun de 2020

the same problems with the auto graders, it's exhausting sadly

por Pranav H

2 de Dez de 2019

Coding exercises should be made compulsory and for the grade

por Eyal B

16 de Fev de 2020

Didn't provide a real understanding for transfer learning


4 de Jan de 2020

not much of insights or details, and it's too easy!

por Alejo G

6 de Out de 2019

A lot of boilerplate code with few new concepts

por Mikołaj M

12 de Out de 2020

The course covers elementary techniques.

por Victor S

4 de Set de 2020

Useful course. Just a bit unstructured.

por Bojiang J

7 de Mar de 2020

Content too easy and not engaging....

por Navid H

15 de Set de 2019

I wish it had real assignments

por Samyak J

2 de Ago de 2020

exercises are not very clear

por Paula S

6 de Abr de 2020

course is a little too easy.

por Pallavi

12 de Mar de 2020

It was not great and good

por Yuxuan C

12 de Abr de 2020

A little bit too easy.

por Luiz C

11 de Jun de 2019

not challenging enough

por Victor M

19 de Mar de 2020

Contenido superficial

por Igors K

26 de Out de 2019

I wish it used TF2.