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

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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 deeplearning.ai 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 deeplearning.ai 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

JM
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.

RB
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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426 — 450 de 1,082 Avaliações para o Convolutional Neural Networks in TensorFlow

por Hieu N

24 de Dez de 2019

Another extraordinary course from deeplearning.ai

por Asad M

5 de Mar de 2021

Loved the simple and to the point explanations !

por Kush S

24 de Mai de 2019

It is one of the best courses likewise course 1.

por Meet M V

28 de Mai de 2021

Learned a lot from this course, made it simpler

por Shaukat

28 de Jun de 2020

Very well paced course, learned a lot about CNN

por Hadj S Y

29 de Abr de 2020

Great Course! So well structured and explained.

por Sk S

13 de Abr de 2020

It was too much of a learning !!! Great Content

por Aditya J

23 de Mar de 2020

one of the best course I have done on Coursera.

por Aritra R G

6 de Mar de 2020

A great place to start with CNN and tensorflow.

por Philippe B

26 de Jan de 2020

Très bon cours sur les réseaux convolutionnels.

por Michalis F

25 de Set de 2019

simple, to the point and good notebooks! thanks

por TEJAS P

8 de Jul de 2020

Extremely Practical Course ! Really Enriching!

por Washing L

16 de Set de 2019

Very easy to learn. Very practical and useful!

por Robin C

20 de Set de 2021

This programme has benefited me a great deal.

por nilo b m

13 de Set de 2020

Gostei muito do curso, aprendi muitas coisas.

por Bohdan K V

27 de Ago de 2020

The course is professionally made. Well done!

por Abhiroop A

9 de Mai de 2020

Its an amazing course. 10/10 would recommend

por Demaison F

5 de Mai de 2020

progressif et complet. Exercices intéressants

por Seeon s

6 de Jan de 2020

very very useful and powerful toll i learn :)

por Pham C B

30 de Mai de 2020

good course for understand cnn in tensorflow

por Sabila H

1 de Mai de 2020

Great, but the code exercise must be updated

por Matas U

27 de Abr de 2020

Amazing course, challenging and interesting.

por NITIN S T

21 de Nov de 2020

Excellently instructed by Laurence Moroney.

por Abid H

3 de Jul de 2020

Great experience learning this course.Bravo

por YASH N

25 de Jun de 2020

Explained each and every details with ease.