Row 58754

Row ID: 58754 | Dataset Entry | Axioma AXP Content Repository

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Yeah maths is important, particularly linear algebra, calculus and statistics. Doesn't need to be to a super high level. For calculus the topics that come up most often are differentiation, partial derivatives, the chain rule. For stats honestly it's all helpful, but usually not as essential. Linear algebra as long as you're comfortable with using vectors and matrices to solve problems you'll get by fine.

Understanding backpropagation is quite important. It's surprisingly not that complex to code from scratch and there are lots of tutorials around for doing just that. Will likely make it click for you. Long as you're okay with lin alg, partial derivatives as the chain rule you should be good to go.

FieldValue
text Yeah maths is important, particularly linear algebra, calculus and statistics. Doesn't need to be to a super high level. For calculus the topics that come up most often are differentiation, partial derivatives, the chain rule. For stats honestly it's all helpful, but usually not as essential. Linear algebra as long as you're comfortable with using vectors and matrices to solve problems you'll get by fine. Understanding backpropagation is quite important. It's surprisingly not that complex to co…
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-23
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{
  "text": "Yeah maths is important, particularly linear algebra, calculus and statistics. Doesn't need to be to a super high level. For calculus the topics that come up most often are differentiation, partial derivatives, the chain rule. For stats honestly it's all helpful, but usually not as essential. Linear algebra as long as you're comfortable with using vectors and matrices to solve problems you'll get by fine.\n\nUnderstanding backpropagation is quite important. It's surprisingly not that complex to code from scratch and there are lots of tutorials around for doing just that. Will likely make it click for you. Long as you're okay with lin alg, partial derivatives as the chain rule you should be good to go.",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-23",
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}
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