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	eb0a49591e	Dropout Layer ... Implemented rng::uniform and rng::binomial for single values, vectors and matrices. implemeted dropout layers and tested it. Also fixed the validation code. Before it used y one place, now it uses y_test as it should.	2026-05-21 15:38:49 +02:00
Bausager	eb2374eaf5	Backpass on reg ... Made backpass on regulariaztion and made it easy to see in main.cpp	2026-05-16 21:34:34 +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	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