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

..

detail

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

initializers

Ready for fvm steady case

2025-09-21 20:57:02 +02:00

interpolation1d

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

inverse

Ready for fvm steady case

2025-09-21 20:57:02 +02:00

abs.h

Refactor progress

2026-01-13 20:07:27 +01:00

add.h

Refactor progress

2026-01-13 20:07:27 +01:00

argmax.h

Refactor progress

2026-01-13 20:07:27 +01:00

argmin.h

Refactor progress

2026-01-13 20:07:27 +01:00

binary_threshold.h

Binomial_CrossEnthophy

2026-05-22 10:11:43 +02:00

clip.h

Refactor progress

2026-01-13 20:07:27 +01:00

div.h

Binomial_CrossEnthophy

2026-05-22 10:11:43 +02:00

dot.h

refactor

2026-01-18 17:51:05 +01:00

equal.h

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

exp.h

Refactor progress

2026-01-13 20:07:27 +01:00

greater_or_less.h

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

interpolation1d.h

Ready for fvm steady case

2025-09-21 20:57:02 +02:00

inverse.h

LU and LU inverse is done

2025-09-14 18:35:37 +02:00

isclose.h

refactor

2026-01-18 17:51:05 +01:00

log.h

Refactor progress

2026-01-13 20:07:27 +01:00

matmul.h

refactor

2026-01-18 17:51:05 +01:00

max.h

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

mean.h

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

min.h

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

mul.h

Refactor progress

2026-01-13 20:07:27 +01:00

neg.h

Refactor progress

2026-01-13 20:07:27 +01:00

numerics.h

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

pow.h

Refactor progress

2026-01-13 20:07:27 +01:00

random.h

refactor

2026-01-18 17:51:05 +01:00

sign.h

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

sqrt.h

Refactor progress

2026-01-13 20:07:27 +01:00

standard_deviation.h

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

sub.h

Binomial_CrossEnthophy

2026-05-22 10:11:43 +02:00

sum.h

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

transpose.h

Neural Network

2025-10-03 20:54:37 +02:00