Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
Good course. It is a very direct approach. It is a basic introduction to keras. Doing the labs is recommended, and also previous knowledge about machine learning is encouraged.
by Emanuel N•
Muy basico, pero contenido estuve bien, los temas fueron bien explicados
by Jay P•
Excellent course that is very well done. Final project was super hard.
by mallesh v s•
Very Good Course to begin, explanations are clear on most of topics
by Nehal B•
It provides good basic understing of deep learning using Keras!
by Vishwanathan C•
Very nice and concise introduction to Keras and Deep Learning.
by Vijander S•
some interdisciplinary data set examples should be included
by Sarah T•
A course which gives basic understanding of concepts.
by J K•
excellent course and but need some advanced content
by TJ G•
Great starter. Could do with more practice labs.
by Udaykumar A•
Good course which provides practical exposure
Not too bad a course and the pace was right.
by Medet M•
Seems very easy course. Good for beginners.
by Peter N P B•
a bit easy but well put together material
by UNMILON P•
Basic course but best to start for Keras
by Cristina A G•
Clear, easy to follow
by Sarath C G K•
by ANAND M•
by suman k s•
by SUSEENDRAN s•
by rebwar k•
by Xinyue Z•
The content is for new comer of tf.keras OK.
When you have been in this area for a long time but still want to finish the whole specilization, pls go ahead and finish the final exam directly.
The week 2 of describing the back propagation is pretty nice, not too much detail but somehow it is using an example which is even clear at some points comparing to Prof.Ng 's course, however, wont let them competet each other
by Gopal I•
The course materials need to be updated to clearly show how to get to the labs. The video talks of one way but the real method is different. Although one is supposed to use the IBM Labs the staff gives direction to use google colabs. I downloaded the files to local machine and discovered the dependencies by accident.
One should not expect to learn much about Keras here. It is a basic introduction to DL and NN.
by Vasileios D S•
This course is too shallow in terms of content and too light in terms of workload, it can only serve as a stepping stone towards a more advanced course. It does accomplish its stated goal of offering an introduction to many Deep Learning concepts and Keras, but nothing beyond that.
by Hamza A I•
The course content is very brief not much for getting a better understanding of topics. It can be a good starting course for someone but if you are interested in getting details of topics I recommend taking the courses of deeplearning.ai
by Tony D•
Very light. The current material requires much less time to finish than annoucned at the beginning of the course. The teacher could have hence taken some time to go more into details, even though it's an introduction course