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