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.
por Stefano T•
content and teacher are great!
google collab and the submit process is tedious because of the hidden restrictions (memory space, computation power) and the bugs of the exercise submission tool
por Vic H•
Oveall, a good course. Very good program examples. One area for improvement: fuker, more detailed explanations for ech line of code (both in the videos and the comment lines within the code.)
por Mohamed A T•
I was expecting an intermediate level course in which we learn how to create complex deep learning models using Tensorflow (and not keras).
the course is still great for beginners... I guess
por Udaya B S•
Didn't like the exercises too much. There was just 1 massive function where both model building and fitting was happening. Difficult to test. It's like - everything works or nothing works.
It was very difficult to learn anything from this course. I had to go through several TensorFlow tutorials https://www.tensorflow.org/tutorials before anything in this course made sense.
por Thomas B•
This was a very basic course entirely solvable in a few hours. It gives you some insight how to use Keras in TensorFlow, and why convolution is a good idea. It was far too basic for me.
por Roberto F•
Es un curso bastante práctico, se hace muy ameno y te engancha a seguir aprendiendo. Para ser un curso introductorio está bastante bien, aunque te quedas con ganas de profundizar más.
por Raffaello B•
It's not easy to complete all weekly exam for a lot of kernel errors.
It is as a good starting point for TensorFlow, but is not newbie course in Machine Learning and Computer vision.
por KAUSHAL K•
Prior knowledge of CNNs is required, instructor just walks through the modules, you shoild be prepared to learn stuff from the documentations on internet amd the sample modules.
por Rui P•
Instructors, please take a look at the discussion forum and answer some questions. It would save students a lot of time. The content of the course was overall awesome though.
por Xiangzhen Z•
Each video is a bit too short. And the assingment can't be smoothly finished and submitted due to environment issue. The creator should try to improve the user experience.
por Volodymyr L•
A very basic course, but it doesn't give you any fundamentals - just gives you a chance to recall keras API better. You'll be much better off doing cs231n, which is free!
por 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.
por 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.
por 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
por 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.
por 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.
por 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.
por 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.
por 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.
por 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,
por Samuel K•
Too easy and lacks theoretical explanation, even though there are references and it seems that it lacks the explanations on purpose...
por Martin P•
After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.
por 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.
por Amine M I•
Too basic for someone with a maths and Machine Learning background. Probably better to upgrade to the Advanced classes offered.