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gnubyte avatar gnubyte commented on September 27, 2024 1

So for example, chapter 1 opens to back propagation. Here are questions that I think we should begin answering in a separate file in the repo in markdown:

  • What is back propagation?
  • Why is it relevant?
  • Where would I use back propagation?
  • Where can I apply this in my 9/5, typical daily setting, for an average IT Helpdesk, System administrator, Web dev, or programmer? (Notably outside the realm of data analyst)

this distinction of target audience allows us to work outside the vacuum of assumptions that 'x' person has a background, and allows us to make readers digests/summaries, for those who are short on time or have life responsibilities such as kids that demand more time of them

from learn_deep_learning_in_6_weeks.

Lovejonezin avatar Lovejonezin commented on September 27, 2024 1

Well I think the course makes the assumption that if one has an interest in the subject matter, they will follow their own questions to get the answer best suited for their needs.

Speaking of myself, I had a base knowledge in deep learning from the other Siraj Raval YT videos, so the supplemental information with this course is sufficient for me. Back propagation is one of the largest parts of the neural network, more than likely you've heard it before even beginning to code one.

I do wish the first exercise didn't skip around so much. Just explain the lines of code as it's being entered. I wasted a week out of frustration and decided to come back later to figure it out.

from learn_deep_learning_in_6_weeks.

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