8 Commits

Author	SHA1	Message	Date
Bausager	edad247227	Starting on the model.h, but need to make layer structs and structs for loss and optimizers	2026-05-30 09:13:52 +02:00
Bausager	cb65174cf4	Binomial_CrossEnthophy ... 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	48f329feef	Regulaization ... Started on regulaization in Loss.h. I need to refactor the matsum.h since I need a total sum over the matrix. Also matmul needs a elementwise matmul function, which is the next this in the ragulaization	2026-01-03 22:10:50 +01:00
Bausager	bd2edea8ef	p.238 in NNFS	2025-12-23 14:47:40 +01:00
Bausager	22d6ea5fad	Backwards Pass ... Activation Softmax with CategoricalCrossentrophy is almost done from page. 234	2025-10-20 14:23:36 +02:00
Bausager	66b3a4ee6b	CatagoricalCrossentrophy ... 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 ... 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