Queries regarding Tensorflow specialization

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 :smiley:

I’ll say you should just take your time and try to understand the core concepts in the first two courses of the Deep Learning Specialization (DLS) . As for the TensorFlow Certificate (TF1) , it is quite straightforward, so you should be able to manage both at the same time. I’ll suggest you complete the first three courses of DLS before you begin TF1, so that you can have the basics dialled down. You can then do courses 4 and 5 of DLS alongside TF1.
Also, as you progress, go online and look for datasets to practice on.

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Got it sir :pray:t3: Thank you very much for guiding :smile:

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