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!
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.
por Gogul I•
Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.
por Carlos S•
Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization
por George D•
Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.
por Rukshan J S•
Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!
por Sanjay R•
A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.
por sushant p•
Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!
por Akash S•
Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!
por Satyam s•
This course has been starting point of my deep learning carrier,
I have learned a lot from this course.
Thanks so much.
por Pushpak G•
Again a good course which covers a lot of practical implementation of Conv nets and image classification.
por Laode M F•
Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.
por Peter L•
Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.
por Tarin N•
This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.
por Ga W•
a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.
por Harish S•
Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.
por ANMOL J•
Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow
por Debashis G•
Well designed nice hands on course. Highly recommended for the beginner who wants to start with Tensorflow 2.0
por Md R U•
Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.
por Muthu R P E•
Practice with various data sets, and learn the tools to use for convolutional neural networks with tensor flow
por Ilan A•
Great course! I think there could be more emphasis on Transfer Learning and how a great breakthrough it is.
por Chi ( M•
practical guidance to CNN in image recognition. Hopefully to have a self-driving car project in the future.
por Seung G H•
This course is a good starting point about the computer vision field with the convolution neural network.
por Nelson S S•
In these difficult times what remains for us to continue learning.
Thanks Professors Laurence and Andrew
por Cuong V•
It helps me a lot! I've learnt transfer learning and data augmentation by tensorflow. And thanks a lot.
por Bao L H•
Thank you so much!
This is a course with very useful lessons!
Once, Thank for giving me this opportunity!
por Anoushkrit G•
Absolutely incredible course, but could have focused real TensorFlow and not the High Level API, Keras.