12 нояб. 2020 г.
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 мар. 2020 г.
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..
автор: Kim K L•
21 мая 2019 г.
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.
автор: Roman V•
12 апр. 2020 г.
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.
автор: Anamitra M•
19 сент. 2019 г.
Superb course. Complex topic such as transfer learning, and image augmentation have been beautifully covered, along with easy to follow implementations.
автор: Junyi B•
8 июня 2020 г.
Very Detailed explanation on CNN! Transfer Learning and Augmentation are really good materials! Everything is well-structured and easy to work on with!
автор: Priscilla V A•
18 апр. 2021 г.
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
автор: MOHAMMAD A U•
11 мар. 2020 г.
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
автор: mark k•
13 авг. 2019 г.
Very interesting course that starts to explore some more advanced topics of machine learning, in particular, Image Augmentation and Transfer Learning.
автор: Okta F S•
9 авг. 2020 г.
This is really good course. By taking this course, I can get fundamental concept about how to write tensorflow code for image classification problem.
автор: Ajithavalli C•
4 янв. 2020 г.
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!
автор: June L•
31 дек. 2019 г.
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!
автор: Rahul R•
14 сент. 2019 г.
Very well designed course on TensorFlow. Specially, a huge thank to Laurence Moroney for this wonderful course series. I really enjoyed the learning.
автор: Salman A•
9 июня 2020 г.
It is a well designed course which really helps in translating the theoretical knowledge about convolution networks to its practical implementation.
автор: hiten s•
11 нояб. 2019 г.
Excellent CNN Course. This Course Covers All The Topics Like Data Augmentation, Transfer Learning, Drop-Out, And Multi-Class-Classification Problem.
автор: Panneer S•
15 апр. 2021 г.
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
автор: Bishmer S•
6 янв. 2021 г.
Great introduction to CNNs and Transfer Learning.
Students will get to do binary then multiclass classifications, with comprehensive video lectures.
автор: B S K•
10 сент. 2020 г.
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!!
автор: Abhishek P•
10 июня 2019 г.
I was quite familiar with CNNs before,but I gained few tricks and trips from great instructors!
I would highly recommend this course!
20 янв. 2020 г.
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.
автор: Amarsingh T•
23 мар. 2021 г.
Fantastic course about Convolution Neural network. Learned about Image augmentation, various ways when overfitting occurs, and how to avoid them.
автор: Chilyatun N•
30 апр. 2020 г.
I learn much about the convolutional neural network in a large data, augmentation, transfer learning, and multiclass classification. thank you!
автор: Jonas L J•
4 сент. 2020 г.
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
автор: Shum P•
16 июля 2020 г.
The course provides a good balance of hands on labs supported by theory. It helps to also check documentation and experiment on finer details.
автор: Tuna A•
30 апр. 2020 г.
This course was excellent for learning the fundamentals of CNNs. However, I wish the exercises and quizes were a little bit more challenging.
автор: Prashantkumar M G•
22 апр. 2020 г.
All the parts explained clearly, and steadily. Ample resources were provided. Assignments were also great. Complexity was as per expectation.
автор: Vidit G•
7 июля 2019 г.
This course helped me understand the concept behind CNN's and the I was able to implement them in the given assignments. Thanks Laurence Sir!