[HN Gopher] Bridging the gap between neural networks and functions
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       Bridging the gap between neural networks and functions
        
       Author : prathyvsh
       Score  : 62 points
       Date   : 2023-06-23 21:27 UTC (1 hours ago)
        
 (HTM) web link (sebinsua.com)
 (TXT) w3m dump (sebinsua.com)
        
       | kurthr wrote:
       | I think the original title was better: "Bridging the gap between
       | neural networks and functions"
       | 
       | It discusses the standard backpropagation optimization method in
       | differential form and the functional approximation of neural
       | networks, but doesn't discuss transformers at all that I could
       | tell. I think the code might be helpful to some in understanding
       | implementation, but so much is now done in accelerators that it
       | doesn't really capture real implementations.
        
       | politelemon wrote:
       | Hmm, might be just me, this feels like a refresher for people who
       | already understand NN and transformers. This will probably escape
       | most devs. I've had a bit better luck with the fastai course
       | which is a series of YouTube videos, so it's a slower pace but
       | explained quite well without requiring a lot of understanding.
        
       | neaumusic wrote:
       | [flagged]
        
       | jppope wrote:
       | The font on the site made it really hard to read.
        
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       (page generated 2023-06-23 23:02 UTC)