Deep Learning Specialization vs TensorFlow Specialization
I have just finished the Machine Learning course, and I'm thinking about what course to take next. I'm doubting between Deep Learning Specialization and TensorFlow Specialization.
Could anyone tell me the differences between them? At first, it seems to me that they are quite similar and I don't know which one I should take.
Thanks in advance!
I highly recommend you to take the DL specialization followed by the Tensorflow specialization, they are complementary and you will learn in the Tenssorflow specialization how to implement DL projects after you take the DL specialization and understand how DL algorithms work.
If you have any question, feel free to ask.