20 Commits

Author	SHA1	Message	Date
LordMathis	9fb9d7e8e1	Implement getting layer, weights and biases	2024-04-16 19:09:41 +02:00
LordMathis	90fb104dae	Implement output layer	2024-03-21 23:07:46 +01:00
LordMathis	a0fc1b00ae	Implement max pooling layer	2024-03-19 22:04:58 +01:00
LordMathis	b6c4b7d2ae	Refactor layers	2024-03-19 21:35:05 +01:00
LordMathis	d9c6c663c8	Rename ILayer to WeightedLayer	2024-03-18 20:36:52 +01:00
LordMathis	6cf604423a	Combine padding and conv kernel	2024-03-18 19:53:40 +01:00
LordMathis	42d646750b	Abstract activation and implement softmax	2024-03-17 18:37:15 +01:00
LordMathis	0c22fac64e	Add toplevel CUDANet namespace	2024-03-17 16:08:53 +01:00
LordMathis	88f7fff217	Add prefix to guards	2024-03-13 22:23:23 +01:00
LordMathis	7157a27e56	Add documentation comments	2024-03-12 21:50:06 +01:00
LordMathis	9d91896f13	Change forward function to return output pointer	2024-03-12 20:50:49 +01:00
LordMathis	d2ab78fbc7	Add Kernels namespace	2024-03-11 21:04:23 +01:00
LordMathis	e0178e2d5c	Cleanup and refactor	2024-03-11 20:39:44 +01:00
LordMathis	f3112311da	Make conv2d work again	2024-03-10 19:13:22 +01:00
LordMathis	d177a67cd6	Add bias to conv2d	2024-03-09 23:03:23 +01:00
LordMathis	4b6fcbc191	Implement simple test for host conv2d	2024-03-08 23:12:04 +01:00
LordMathis	69ccba2dad	Start conv test implementation	2024-03-07 22:03:05 +01:00
LordMathis	fc2c1616b4	Initial cpu conv implementation	2024-03-07 21:24:59 +01:00
LordMathis	f4257afd5a	Remove cublas dependency	2024-03-05 18:41:35 +01:00
LordMathis	cfc5c46d5e	Initialize conv2d layer	2024-03-04 22:16:03 +01:00