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Voltar para Convolutional Neural Networks in TensorFlow

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

7,644 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


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!


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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251 — 275 de 1,178 Avaliações para o Convolutional Neural Networks in TensorFlow

por Akash S

24 de ago de 2020

Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

por Satyam s

18 de abr de 2020

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

por Pushpak G

5 de set de 2020

Again a good course which covers a lot of practical implementation of Conv nets and image classification.


por Laode M F

26 de abr de 2020

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.

por Peter L

19 de mar de 2020

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

por Thomas M

3 de fev de 2021

Good course, coding challenges need more emphasis on the deep learning models, would like to code more from scratch

por Teshome A

14 de mar de 2022

Well designed, engaging and learn a lot from assigment. It is easy to understand and learn. Thak you keep it up.


4 de ago de 2021

It's really a great experience. I will never going to regret in taking this course. It taught me a lot of things.

por Tarin N

27 de jun de 2020

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

por Ga W

18 de mar de 2020

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

por Harish S

4 de ago de 2019

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.


30 de ago de 2020

Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow


9 de jul de 2020

Well designed nice hands on course. Highly recommended for the beginner who wants to start with Tensorflow 2.0

por Raihan R

7 de mai de 2020

Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.

por Muthu R P E

15 de nov de 2019

Practice with various data sets, and learn the tools to use for convolutional neural networks with tensor flow

por Yasuyuki O

18 de mar de 2022

Really good and Intuitive to understand and worth paying money and assignments are also good (and exciting!).

por Ilan A

9 de jul de 2020

Great course! I think there could be more emphasis on Transfer Learning and how a great breakthrough it is.

por F M

11 de ago de 2019

practical guidance to CNN in image recognition. Hopefully to have a self-driving car project in the future.

por Sergio Á O

14 de dez de 2022

This is an excelent course. A good ampliation over the past course going deeper in convolutional networks.

por Seunggyun H

25 de out de 2020

This course is a good starting point about the computer vision field with the convolution neural network.

por Nelson S S

11 de out de 2020

In these difficult times what remains for us to continue learning.

Thanks Professors Laurence and Andrew

por Thành C V

11 de abr de 2020

It helps me a lot! I've learnt transfer learning and data augmentation by tensorflow. And thanks a lot.

por Bao L H

23 de mar de 2020

Thank you so much!

This is a course with very useful lessons!

Once, Thank for giving me this opportunity!

por Anoushkrit G

25 de nov de 2019

Absolutely incredible course, but could have focused real TensorFlow and not the High Level API, Keras.

por Bhakti P

13 de out de 2020

Excellent course with very appropriate explanation. Thank you very much Andrew Ng and Laurence MOroney