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 Aniket C•
The notebooks do not provide enough information about what block implements what. A simple comment that implement custom callback here would have made things lot easier.
By Ranjan D•
The course was good enough on the high-level perspective but was expecting pure TensorFlow based implementation of the models instead of using the Keras high-level API.
By Roger G A•
The course was very basic but interesting. However, there were some issues when submitting the assignments. And the virtual lab uses tensorflow 1.x instead of 2.x
By Baurjan S•
It's very introductory and the knowledge may not stick. I think it is more beneficial to take a full deep learning course with TF as an add-on to the course.
By Desiré D W•
Great content, excellent explanations.
But I couldn't run the notebooks without running into kernel issues, the programming assignments were a real hassle.
By Harmanpreet S•
Could have been a more elaborated course. This course mostly talks about how Keras functionality has been adopted by high-level APIs in Tensorflow.
By Mohammad F•
This course gives a high-level overview to tensorflow keras api which is good to begin with but working on complex use cases would be preferred.
By Yonatan N•
This course was not focused on learning tensorflow as I had hoped. Instead, it felt like an into to neural networks course using tensorflow.
By Jeroen v H•
I missed graded exercises. WIth only the simple multiple-choice questions tests it becomes a try and retry game to score as high as possible,
By Samuel K•
Too easy and lacks theoretical explanation, even though there are references and it seems that it lacks the explanations on purpose...
By Martin P•
After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.
By Nattachai T•
The examples almost show you how to complete every labs. It would help me more if you increase the difficulty in the exercises.
By Amine M I•
Too basic for someone with a maths and Machine Learning background. Probably better to upgrade to the Advanced classes offered.
By Adarsh G•
This Course is only useful if and only if u have prior knowledge about neural networks, and if previously used Tensorflow
It was a well-formatted course for someone just starting out with tensorflow as their choice of deep-learning framework.
By Marco B•
Very good course to start with TensorFlow but a lot of problems on coursera's servers, the exercises are crashing a lot
By Ashim M•
It was annoying to keep writing the callbacks when we could use the inbuilt callbacks already provided. twas alright.
By Pavel D•
Exercises are too simple and mostly mechanical, they don't force to explore the internal network details and concepts
By Aditya M•
It was a very basic course. Didn't learn much from this course. Expecting a better & in-depth dive in future courses.
By Oleg K•
Quite short course with not so much information as for a paid course. Other than that - good intro for the beginners
By RAVI P•
The quality of assignments should be better. There should be less emphasis on overfitting the data to 99% or 100%
By Apoorv V•
Compared to the Deep Learning Specialization, this course falls short in course depth and coverage of material.
By Moustafa S•
the grading system is so bad it slowed the progress too much sadly, but the instructions was so clear and good.
Exercises are a little bit too simple. It is only a matter of copy/paste.
The github folder structure is a mess!
By Christian B•
I expected a TF-focused course, this was more "basic synthax of keras". Thanks for the good work nonetheless!