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Voltar para Convolutional Neural Networks in TensorFlow

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

6,036 classificações
918 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.

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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151 — 175 de 911 Avaliações para o Convolutional Neural Networks in TensorFlow

por Erdem Ç

8 de Jul de 2020

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..

por Lawrence K

14 de Jun de 2019

Hands on practice and I love the videos after each lab that explains all we encountered during the lab. I highly recommend this course to anyone interested in CNNs

por Mario C M

8 de Jun de 2020

Great course. Laurence is a great instructor. This course gives you more confidence to deploy your own convolutional neural networks and machine learning models.

por ravikiran

4 de Jul de 2019

Wonderful Course!! stick to the basics slowly introducing methods to improve accuracy metric and in parallel taking care of overfitting. I thoroughly enjoyed it

por Abolfazl S

21 de Dez de 2019

I learned A LOT in this course just by using Tensor Flow to perform state-of-the-art image processing. My special thanks and gratitude to Laurence and Andrew.

por Meet D

3 de Nov de 2020

I have learned Transfer Learning, Image augmentation. The Course is very interactive.

I hope will use this knowledge to develop meaningful work in my career.

por Gautam K

14 de Jul de 2020

This course has been very helpful in learning the implementation of CNN. I am very thankful to the course coordinator and Coursera for this awesome course.

por L V K S R B

9 de Out de 2020

Felt great working with computer vision on handling different types of obstacles with some smart solutions. Great help to boost my dl experience.

Thank You!

por Christopher G

2 de Ago de 2019

Excellent course. Enabled me to quickly get a grasp of this topic so I could go on to further learning and application. Perfectly designed course for this.

por Kim K L

21 de Mai de 2019

A brilliant hands-on course that really gets the student into ML with tensorflow / keras ... Also lots of kudos to our teacher Laurence for a great course.

por Roman V

12 de Abr de 2020

Very practical and useful course. It really helps to build a few models yourself instead of just reading about it to fully understand potential of CNNs.

por Anamitra M

19 de Set de 2019

Superb course. Complex topic such as transfer learning, and image augmentation have been beautifully covered, along with easy to follow implementations.

por Junyi B

8 de Jun de 2020

Very Detailed explanation on CNN! Transfer Learning and Augmentation are really good materials! Everything is well-structured and easy to work on with!


11 de Mar de 2020

Excellent course. Convolutions are great way of making machine learning effective

I would like to thank Laurence Sir

and a Special thanks to Andrew Sir

por mark k

13 de Ago de 2019

Very interesting course that starts to explore some more advanced topics of machine learning, in particular, Image Augmentation and Transfer Learning.

por Okta F S

9 de Ago de 2020

This is really good course. By taking this course, I can get fundamental concept about how to write tensorflow code for image classification problem.

por Ajithavalli C

4 de Jan de 2020

It was a great course! I am not an image processing person, but I enjoyed learning about CNNs through them. Looking forward to applications on texts!

por June L

31 de Dez de 2019

It's a lot of fun building a ConvNet using my dog's pictures and reduce the overfitness through augmentation, dropouts and transfer learning! Thanks!

por Rahul R

14 de Set de 2019

Very well designed course on TensorFlow. Specially, a huge thank to Laurence Moroney for this wonderful course series. I really enjoyed the learning.

por Salman A

9 de Jun de 2020

It is a well designed course which really helps in translating the theoretical knowledge about convolution networks to its practical implementation.

por hiten s

11 de Nov de 2019

Excellent CNN Course. This Course Covers All The Topics Like Data Augmentation, Transfer Learning, Drop-Out, And Multi-Class-Classification Problem.

por Bishmer S

6 de Jan de 2021

Great introduction to CNNs and Transfer Learning.

Students will get to do binary then multiclass classifications, with comprehensive video lectures.

por B S K

10 de Set de 2020

I needed hands on experience in tensorflow and i got exactly that ,excellent course. By far this is the course i enjoyed the most! Kudos Laurence!!

por Abhishek P

10 de Jun de 2019

Awesome Course!

I was quite familiar with CNNs before,but I gained few tricks and trips from great instructors!

I would highly recommend this course!

por 毛昊

20 de Jan de 2020


and I want to learn more about how to use CNN to do more sophisticated tasks such as object detection and semantic splitting. thank you.