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!
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.
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!
por Priscilla V A•
18 de abr de 2021
This class is awesome, unfortunately the notebooks in week 3 and 4 (if I'm not mistaken) have some errors that we need to cross the rules and debug it
por MOHAMMAD A U•
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 Panneer s J•
15 de abr de 2021
This course is simple and effective. It is very good for entry level and mid level learners. thanks Laurence and Coursera for this wonderful course
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
I was quite familiar with CNNs before,but I gained few tricks and trips from great instructors!
I would highly recommend this course!
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.
por Amarsingh T•
23 de mar de 2021
Fantastic course about Convolution Neural network. Learned about Image augmentation, various ways when overfitting occurs, and how to avoid them.
por Chilyatun N•
30 de abr de 2020
I learn much about the convolutional neural network in a large data, augmentation, transfer learning, and multiclass classification. thank you!
por Jonas L J•
4 de set de 2020
Very interesting to learn about Convolutional Nerual Networks, this is a nice hands on course I'd like to recommend to anyone interested in ML
por Shum P•
16 de jul de 2020
The course provides a good balance of hands on labs supported by theory. It helps to also check documentation and experiment on finer details.
por Tuna A•
30 de abr de 2020
This course was excellent for learning the fundamentals of CNNs. However, I wish the exercises and quizes were a little bit more challenging.