Hello Everyone!
I have decided to simultaneously do Deep Learning and TensorFlow Specialization as in DL Specialization only the core logic and Math is been taught and I also want to equip myself with essential coding skills. So took up TensorFlow Specialization course too.
Can anyone give me tips while I do my both specializations like how I should approach each topic, external learning resources, and things that I should be keeping in mind, etc.
As here there are multiple professionals in ML & DL, maybe the tips from you can save me from making errors.
Your responses are greatly appreciated.
Thanking in advance