Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow by DeepLearning.AI

Very interesting course that starts to explore some more advanced topics of machine learning, in particular, Image Augmentation and Transfer Learning.

This is really good course. By taking this course, I can get fundamental concept about how to write tensorflow code for image classification problem.

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!

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!

Very well designed course on TensorFlow. Specially, a huge thank to Laurence Moroney for this wonderful course series. I really enjoyed the learning.

It is a well designed course which really helps in translating the theoretical knowledge about convolution networks to its practical implementation.

Excellent CNN Course. This Course Covers All The Topics Like Data Augmentation, Transfer Learning, Drop-Out, And Multi-Class-Classification Problem.

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

Great introduction to CNNs and Transfer Learning.

Students will get to do binary then multiclass classifications, with comprehensive video lectures.

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!!

Awesome Course!

I was quite familiar with CNNs before,but I gained few tricks and trips from great instructors!

I would highly recommend this course!

excellent.

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.

Fantastic course about Convolution Neural network. Learned about Image augmentation, various ways when overfitting occurs, and how to avoid them.

I learn much about the convolutional neural network in a large data, augmentation, transfer learning, and multiclass classification. thank you!

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

The course provides a good balance of hands on labs supported by theory. It helps to also check documentation and experiment on finer details.

This course was excellent for learning the fundamentals of CNNs. However, I wish the exercises and quizes were a little bit more challenging.

All the parts explained clearly, and steadily. Ample resources were provided. Assignments were also great. Complexity was as per expectation.

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!

Nice examples and working with new datasets helped a lot to define and understand new types of inputs and new ways to use ImageDatagenerator

Again great explanation as first course(Introduction). Methodically increases the complexity without loosing the sight of the ultimate goal

This whole course series is good for absolute beginners. Don't expect any advanced specialization. As a beginner, I'm enjoying the series.

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

This was a great course and the quarantine restrictions keep me hooked to it. Learned quite a bit about machine learning and TensorFlow.