Bausager
cb65174cf4
Binomial_CrossEnthophy
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fixed rowwise/colswise mean/sum and implemented binomial_corssentrhopy. Next up is regression.
2026-05-22 10:11:43 +02:00
Bausager
d2fe8aa65c
Fittet new functions to everying in neural networks. Still need to optimise for uint64_t vs int64_t and vec vs mat in some places.
2026-05-16 20:37:05 +02:00
Bausager
bd2edea8ef
p.238 in NNFS
Sync public mirror / sync (push) Failing after 24s
2025-12-23 14:47:40 +01:00
Bausager
22d6ea5fad
Backwards Pass
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Sync public mirror / sync (push) Successful in 26s
Activation Softmax with CategoricalCrossentrophy is almost done from page. 234
2025-10-20 14:23:36 +02:00
Bausager
7fe6be9ba7
Backwards - ReLU & Dense Lasyer
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Sync public mirror / sync (push) Successful in 27s
Made the backwards for dense layers and ReLU, but I think I soon need to refactor some code to make it all steamlined.
2025-10-09 10:43:45 +02:00
Bausager
66b3a4ee6b
CatagoricalCrossentrophy
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Sync public mirror / sync (push) Successful in 27s
Fixed the loss functions for categories and is ready for accuracy calculation on page 129
2025-10-07 13:09:25 +02:00
Bausager
ea359f3b09
Started Loss, done softmax, up to p.125
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I've implemented alot of support functions that needs to be refactored, optimised and tested; mean.h, exponential.h, matdiv.h matsum.h matsubtract.h. Maybe we need to have a look at if matdiv/matmul should be in the same. Same with matadd/matsubtract and if some of it should be in matvec.h.
2025-10-05 19:47:56 +02:00
Bausager
88227a38fc
Neural Network
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Started on implementing neural network from NNFS. I've done ReLU and stopped at p.104. Softmax is not ready.
2025-10-03 20:54:37 +02:00
Bausager