Is it worth it go for the Tensorflow Certificate if I have completed the Deep Learning Specialization and I am also working on mini personal projects side by side ? I am looking to keep learning alongside those projects because there’s still a lot to learn but I am just not sure if this is the right specialization to go for over some other like GANs or NLP ones.
If you’re referring to the tensorflow developer cerfiticate exam, it’s no longer available.
DeepLearning.AI TensorFlow Developer Professional Certificate covers time-series data. If this is new to you, it’s worth exploring the topics covered on the course page.
Sorry that was a bit vague but I was referring to Deep Learning AI TensorFlow Certificate, I haven’t worked much with time series data except for the Sequence Models course of DLS. Now I have started the Tensorflow Developer specialization and completed the first course but I feel like its not that challenging so I was confused about whether I should do it or some other course, and the time series things are in the last course right ? As for the first three courses, is there anything new to learn that we dont already know from the DLS.
No worries.
Time series is the last course of Deep Learning AI TensorFlow Certificate specialization.
DLS covers what your need to know for the first 3 courses. This specialization focuses more on using the TensorFlow API to build and fine-tune the model to achieve the desired level of performance. The syllabus is more aligned with the google certification exam.