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Voltar para Convolutional Neural Networks in TensorFlow

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

6,937 classificações
1,081 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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1001 — 1025 de 1,083 Avaliações para o Convolutional Neural Networks in TensorFlow

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 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 Sandeep

22 de Abr de 2021

The lab exercises for week 4 needs to be changed

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 Python

30 de Jul de 2021

The grader keeps running out of memory

por Bojiang J

7 de Mar de 2020

Content too easy and not engaging....

por Jorge E

22 de Set de 2021

Se repiten varios temas del curso 1

por Aymen M

20 de Mar de 2021

The last assignment is malformed

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.

por Masoud V

21 de Ago de 2019

Useful but too easy

por Ruxue P

14 de Out de 2020

Too little content

por Gerard C I

20 de Nov de 2019

to much shallow