Best results

Date	Accuracy	Hidden layers and units	Learning rate	Momentum	Init. function	Activ. function
16/01/2022	100%	[20]	0.1	0.8	Xavier	Sigmoid
14/01/2022	71.63%	[20]	0.1	0.8	Xavier	Sigmoid
11/01/2022	74.80%	[15, 15, 15]	0.01

Date	Accuracy	Hidden layers and units	Learning rate	Momentum	Init. function	Activ. function
16/01/2022	100%	[10]	0.05		Norm. Xavier	Sigmoid
14/01/2022	88.10%	[20]	0.1	0.8	Xavier
11/01/2022	59.52%	[15, 15, 15]	0.01

Date	Accuracy	Hidden layers and units	Learning rate	Momentum	Init. function	Activ. function
16/01/2022	94.21%	[10]	0.01		Xavier	Sigmoid
14/01/2022	90.67%	[20]	0.1	0.8	Xavier
11/01/2022	74.17%	[15, 15, 15]	0.01

Date	Accuracy	MEE	Loss	Hidden layers and units	Learning rate	Momentum	Init. function	Activ. function	Notes
17/05/2022	0% 2.37%	0.07951	1.1123 (MEE)	[23]	0.0025		Norm. Xavier	Tanh	L2(l = 1e-05)
13/05/2022	0.67% 2.37%	0.09735	0.6836 (MSE)	[25,25]	0.001		Norm. Xavier	Tanh
10/05/2022	0%		0.9846 (MSE)	[30]	0.001	0.85	He	Tanh	Quick baseline test

Name		Name	Last commit message	Last commit date
Latest commit History 473 Commits
datasets		datasets
.gitignore		.gitignore
CUP_gridsearch.py		CUP_gridsearch.py
CUP_nntest.py		CUP_nntest.py
MONK_nntest.py		MONK_nntest.py
README.md		README.md
activationfunctions.py		activationfunctions.py
analyzer.py		analyzer.py
architecture.py		architecture.py
datasets.py		datasets.py
folding.py		folding.py
grid_search.py		grid_search.py
hyperparameter.py		hyperparameter.py
layers.py		layers.py
logger.py		logger.py
losses.py		losses.py
metrics.py		metrics.py
mlp.py		mlp.py
model.py		model.py
network.py		network.py
preprocessing.py		preprocessing.py
regularizators.py		regularizators.py
search_space.py		search_space.py
training.py		training.py
utils.py		utils.py
weight_initialization.py		weight_initialization.py

Provide feedback