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Do you have any suggestions on reading material?



Assuming you're asking specifically about the history of DL/ML, I can recommend this (4-part) blog series: http://www.andreykurenkov.com/writing/ai/a-brief-history-of-.... It includes references for the relevant publications that identify problems (e.g., exploding gradients) and their solutions.


I have read a lot of papers and usually, you end up in the original one if you check the references. But you have to check papers in specific areas. I am not aware of any good document where everything is there.




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