{"push_id":2687819942,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"9c874d6d508c7774694e90ed9ae6e075505ac5a8","before":"0b2962ddb941a29e08c92570adbc53131b528fcc","commits":[{"sha":"9c874d6d508c7774694e90ed9ae6e075505ac5a8","author":{"name":"Marko Grdinić","email":"5622e3ec1a18094ea0e746d23e3f804b2589765e@gmail.com"},"message":"Had to do some chores. At any rate, I understand enough the Zap Q to implement it. I have no idea how to adapt it to NNs though at this juncture.\n\nOne thing I am sure of is - this stuff is genius. I absolutely need to understand it as underneath it lies some kind of gradient normalization scheme. The algorithm is a vision of what lies beyond whitening.\n\nThe outer product of the eligibility vector and the new minus the old gradients? Just what is that?","distinct":true,"url":"https://api.github.com/repos/mrakgr/The-Spiral-Language/commits/9c874d6d508c7774694e90ed9ae6e075505ac5a8"}]}
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