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.
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!
автор: Junyi B•
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•
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•
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•
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•
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•
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•
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•
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•
It is a well designed course which really helps in translating the theoretical knowledge about convolution networks to its practical implementation.
автор: hiten s•
Excellent CNN Course. This Course Covers All The Topics Like Data Augmentation, Transfer Learning, Drop-Out, And Multi-Class-Classification Problem.
автор: Panneer S•
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•
Great introduction to CNNs and Transfer Learning.
Students will get to do binary then multiclass classifications, with comprehensive video lectures.
автор: B S K•
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•
I was quite familiar with CNNs before,but I gained few tricks and trips from great instructors!
I would highly recommend this course!
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•
Fantastic course about Convolution Neural network. Learned about Image augmentation, various ways when overfitting occurs, and how to avoid them.
автор: Chilyatun N•
I learn much about the convolutional neural network in a large data, augmentation, transfer learning, and multiclass classification. thank you!
автор: Jonas L J•
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•
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•
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•
All the parts explained clearly, and steadily. Ample resources were provided. Assignments were also great. Complexity was as per expectation.
автор: Vidit G•
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!
автор: Ayush K•
Nice examples and working with new datasets helped a lot to define and understand new types of inputs and new ways to use ImageDatagenerator
автор: Dayananda D K•
Again great explanation as first course(Introduction). Methodically increases the complexity without loosing the sight of the ultimate goal
автор: Jim M•
This whole course series is good for absolute beginners. Don't expect any advanced specialization. As a beginner, I'm enjoying the series.