10 Commits

Author	SHA1	Message	Date
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	e5f8c91be4	Optimizers - Part 1 ... Done with SGD and Adagrad, still need to optimize them but they work.	2026-01-01 19:23:48 +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	7fe6be9ba7	Backwards - ReLU & Dense Lasyer ... 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	c164d790db	NNFS p.135 ... Started on the iteration, not need to rewrite matadd.h and need to make matrandom.h.	2025-10-07 19:06:33 +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
Bausager	88227a38fc	Neural Network ... 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