Row 19121

Row ID: 19121 | Dataset Entry | Axioma AXP Content Repository

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"new subjects in latest deep learning". Such as? It is still just a big, rather ill-posed, optimization problem.

This is an ongoing endevour and no book, at this point, will be complete. It's not like geometry, algebra or calculus which are subjects about which you can buy 1960's books and still do pretty well. I, for one, have been buying a lot of Russian physics books from the 70's and 80's. Priceless.

We still need to do a lot of theoretical research in neural networks, deep learning specifically. This book is a good start; tough on the math, but interesting take, IMHO.

FieldValue
text "new subjects in latest deep learning". Such as? It is still just a big, rather ill-posed, optimization problem. This is an ongoing endevour and no book, at this point, will be complete. It's not like geometry, algebra or calculus which are subjects about which you can buy 1960's books and still do pretty well. I, for one, have been buying a lot of Russian physics books from the 70's and 80's. Priceless. We still need to do a lot of theoretical research in neural networks, deep learning specif…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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Raw Record

{
  "text": "\"new subjects in latest deep learning\". Such as? It is still just a big, rather ill-posed, optimization problem.\n\nThis is an ongoing endevour and no book, at this point, will be complete. It's not like geometry, algebra or calculus which are subjects about which you can buy 1960's books and still do pretty well. I, for one, have been buying a lot of Russian physics books from the 70's and 80's. Priceless.\n\nWe still need to do a lot of theoretical research in neural networks, deep learning specifically. This book is a good start; tough on the math, but interesting take, IMHO.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
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}
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