Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
By Manikantam C•
I think there can be more reference videos so that we can understand in depth about how convolution works! but these videos do help maximum to understand concepts.
By nitish a•
The course was quite interesting and the assignments given were also hard to solve, so I enjoyed solving them but submitting those assignments was a bit annoying.
By Vedang W•
As someone who has used Tensorflow and Keras before, this course was a good refresher and even helped me learn new things such as callbacks and image generators.
By Sanskar j•
Its a short course which introduces you to basics of building neural network but if you know that you can definitely skip this course and maybe do the next one.
By Sayali P N•
Instructor helped me to understand the value and usefulness of the subject matter covered by the course.The assignment were relevant and helpful to my learning.
By RATUL G•
I would like to thank Laurence Sir for creating this course in collaboration with DeepLearning.AI and help us to give the recognition of Tensor-Flow Developer.
Cool videos, but the course is a bit tiny and basic. Also, it will be great if Colab tasks are more or less different from the graded programming assignment.
By DHRUV N P•
it was a little too basic. I was expecting to learn tensorflow and not keras.
And also the grading system is a struggle.
Apart from that the teaching was great
By SMRUTIRANJAN D•
The course was very preliminary in nature. I could complete it within one week. May be it is designed for someone with no introduction to Machine Learning.
By Wendy C•
It would be better if the homework instruction can remind more about why the memory or run time error might occur in the grading system before submission.
By Peter h•
Since it is intro class, it gives you an impressive teaste of TensorFlow. There is a long way ahead that being an AI guy. work hard and you are the best!
By Jingwei L•
A brilliant start for a learner who is eager to engage in AI. For me, a Chinese practitioner, the Chinese subtitle could be uploaded as soon as possible.
By Rakesh B C•
Good Course. Assignments are very good. It is a difficult course for beginners but they can learn all those through materials and other videos provided.
By Anujeet S•
It is definitely an exciting course to kick start your experience into deeplearning . Kudos to the course instructor Laurence Moroney for this course .
By Edir G L•
These courses are a great complement for the theoretical deeplearning.ai courses, I recommend you do this after and learn more about the modern tools.
By Dilan E D G•
It was great! There are some quizzes with tricky questions, and it would have been great to get more feedback on the quizzes, but it was pretty good.
Great material. The grader and jupyter notebooks need to converge with the github repo. Copies of original assignments on github would really help!
By Abhishek B•
The ideas were explained in a really good manner. The level should have been more challenging for programming assignments with less hand-holding
By Warren B•
A good intro to computer vision. You may want to supplement your course with external content to fill in gaps that will differ for each of us.
By Edward S•
Great introduction on Tensorflow and some key concepts of NN, however I find the course fees is slightly too expensive for such an introduction.
By Vishaal K M•
Covers only the basic coding part using tensorflow. I suggest you take the Deep Learning Specialization before this course for the math basics.
By Jeffrey S•
A good introduction to TensorFlow. Anyone with just a little programming experience will be able to get started in this very exciting new tool.
By Akash K•
It was a grate experience to learn Dnn, Cnn, keras , tensorflow . Concepts where explained with examples which made course easy and intesrting.