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Voltar para Convolutional Neural Networks in TensorFlow

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

7,650 classificações

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


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..


12 de nov de 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

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1076 — 1100 de 1,179 Avaliações para o Convolutional Neural Networks in TensorFlow

por Mohammed F

6 de jul de 2019

Could have dived more into the details and inner workings of Convolutional layers but overall awesome course.

por Aleksey V

22 de nov de 2019

complex ideas in very basic tasks that you can easily accomplish by copy-pasting from provided notebooks.

por Shubham A G

25 de ago de 2019

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

por Frank W

17 de jul de 2020

The programming tasks are not very helpful. The main difficulty is that unknown methods should be used.

por Michael E

14 de fev de 2020

Would like to have seen some information on techniques such as batch normalization and residual layers.

por Apichart L

5 de jul de 2021

Not well-design, it is very light information and knowledge to learn, unlike the #1 introduction.

por Nahum P

22 de set de 2020

Final work had almost no connection to what you learned during the course.

Not enough hands on.

por ROSS

15 de out de 2021

The knowledge taught in the course is over-simplified. The assignments are not well-designed.

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 Yu S C

26 de jun de 2021

I dont think this course is very helpful in terms of price/how much you can learn.

por Leon L

11 de jan de 2022

Lectures are good but final exercises need to be updated and explained properly.

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 Alan K H S

25 de jul de 2021

The final exercise its really unclear on instructions and tools to use

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