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.
I highly recommended you join Deep Learning. The Deep learning course is offered by Python and ML Training Courses in Delhi and Noida. It provides various possibilities for people to get a job with the sector. With good abilities, the organization is to provide classes to lots of candidates. They offer classes with good lab facilities for trainees. They let you work on a live project and gain additional skills in deep learning. Specialists provide an education program on how to use deep learning in the automotive and commercial fields. So, enroll in the Best Deep Learning Training in Noida and learn more about this.