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Voltar para Convolutional Neural Networks in TensorFlow

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

7,339 classificações
1,140 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


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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101 — 125 de 1,142 Avaliações para o Convolutional Neural Networks in TensorFlow

por Waqas A

1 de jul de 2020

This course is for beginners and intermediate, If you know the detail of the model layer then don't take this course. The instructor only tells the code who to add Conv, pool max layers in TensorFlow do not explain the depth of convolution and pooling layers.

por Shubham K

18 de ago de 2020

This was a really great course for me to dive into practising the implementation of machine learning for image datasets. The instructor is really nice. I thoroughly enjoyed the course and will be taking more courses on applied machine learning from Laurence.


6 de abr de 2020

The course was nicely built on the advanced topics of multi-class classification, data-augmentation, and transfer learning in Convolutional Neural Networks. Special congratulations to the instructor and his team for coming up with such a nice course.

por Mike B

11 de mai de 2020

The course was excellent. Other than the (typical by now) Coursera code-submission issues, the course really covers a broader range of CV applications & TF capabilities than I've seen with the "get it working and move on" workflow at the day job.

por Bartłomiej A

23 de ago de 2020

Thank you very much for this course, it helped me understand data augumentation and transfer learning. I am very inspired seeing computer graphic generated training data. It would be great having a separate course/workshop covering this topic.

por saket p

1 de jul de 2019

This is very well structured course for geeks who want to start learning machine leaning and implement different neural networks are hiking the technology world.

I personally appreciate the course material and instructor for the immense work.

por Rayhaan

13 de ago de 2020

Thank you for teaching me this outstanding course I learned a lot about Convolutional Neural Networks. The programming assignment were also at the right difficulty not too hard and not too easy. The quizzes were easy but really awesome.


por Muhammad S

21 de jul de 2020

An excellent learning platform during Covd-19 pandemic. I appreciate the effort of the Coursera team who provide us such an amazing learning environment. This course really helps me to improve my practical knowledge of CNN.

Thanks Coursera.

por Nebojsa D

15 de ago de 2019

This lectures are givin a very nice advices for practical implementation of ConvNets. combining it with prof.Andrew Ng's lecture exercises in this course will allow you much more practi implementation of knowledge you have acquired before.

por Andrés P

21 de abr de 2020

The course in general is pretty good, only the last test seems to me that is incorrect, since there are 24 different classes, but doesn't approve it when you set it with these 24. It requires from you to put 26 when to me seems illogical.

por Tanay G

8 de abr de 2020

I found the course really interesting and I learned a lot. The thing I liked the most about this course is the minimal helping nature of the evaluative notebooks, deep learning specialisation's notebooks practically spoon-fed the answers.

por arnaud k

25 de jun de 2019

The practical aspect of this course is addicting. I can't stop myself from wanted to try the next technique. maybe because i have seen most of these before but i going had made it clear what i was doing wrong in some of my "failed kaggle"

por Jafed E G

6 de jul de 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

por Carlos V

7 de jul de 2019

Excellent course, in particular, all explanations to work with the Image Augmentation libraries, I enjoined the transfer learning part, highly recommended for anyone looking to improve their knowledge of Convolutional Neural Networks

por Farhan F

6 de abr de 2022

T​his course is really really challengging until I have to repeat 16 times . But because i try, try and try i can finish this course.However is late, but i want to do for study and learning more to the Data Science and Data Analyst.

por Nelly N

25 de nov de 2021

It is a great course to learn about Convolutional Neural Networks, exploring how to use them with large datasets, Augmentation, Dropouts, Regularization and Transfer learning, and coding during binary or multi-class classification.

por Harun U F

31 de mar de 2021

Deeplearning.AI allows me to explore more about CNN. Using CNN and Tensorflow, I can build a model in just few lines of code. This library really helps me to overcome the problems in Machine Learning, especially in Computer Vision.

por Zeeshan A

25 de jun de 2020

The specialization covers brief introduction to the concepts of Computer Vision and Natural Language Processing. It introduces to TensorFlow and gives a hands-on practical experience over the tool through simple assignments.

por Vishakan

22 de abr de 2020

Learnt a lot of new things about image classification, how to better predict images using TensorFlow. Laurence Moroney is a great teacher who skillfully explains the code and its significance in an easy-to-understand manner.

por Surya K

5 de abr de 2020

Incredible course structure. Really well designed and thoughtful. The programming assignments were especially very helpful. Grateful to Coursera for letting me do this specialization during these uncertain times of COVID-19.

por Steven J R

24 de mar de 2021

It's a nice approach and a good example of how we're going to do Machine Learning stuffs through an open-source library called Keras from Tensorflow (from Google ofc). Thanks, Google and DeepLearning.AI., Mr. Andrew Ng!

por Sawyer S

22 de jun de 2020

Very instructive and practical, but the coding assignment can be mis-leading from time to time. However, that is not anything out of ordinary, practitioners should expect some level of sophistications in real life

por Low W T

9 de ago de 2020

Coming from an aspiring Data Scientist, Laurence Moroney provided succinct explanation on practical aspect for CNN, which is a definitely a supplementing course material alongside's specialisation.

por Rakshit A

22 de fev de 2021

very well explained and the google colab notebook that they share is very helpful . i recommend to go through the lectures and go through youtube videos for deeper understanding before just jumping to exercises.

por Chirag G

8 de mar de 2020

This specialization is really helpful. I had done other specializations and Machine Learning Course of Andrew Ng. But this course helped me to revise those topics as well as implement them in the real world.