davrot/pytorch-sbs
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Add files via upload

Browse source
This commit is contained in:
David Rotermund 2023-01-15 00:49:47 +01:00 committed by GitHub
parent aafa76b980
commit 349c851148
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
26 changed files with 240 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

BIN
settings/FASHION_MNIST/CNN/Weights/Bias_L0_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Bias_L3_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Bias_L6_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Bias_L8_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Weight_L0_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Weight_L3_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Weight_L6_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/FASHION_MNIST/CNN/Weights/Weight_L8_S199.npy Normal file
View file

Binary file not shown.

4
settings/FASHION_MNIST/CNN/dataset.json Normal file
View file

@ -0,0 +1,4 @@
{
"data_path": "./DATA_FASHION_MNIST/",
"data_mode": "MNIST_FASHION"
}

19
settings/FASHION_MNIST/CNN/def.json Normal file
View file

@ -0,0 +1,19 @@
{
"epoch_id_max": 200,
"batch_size": 24,
"stage_id": 0,
"simulation_id": 0,
"learning_parameters": {
"loss_mode": 1, // X-Entropy
"number_of_batches_for_one_update": 20,
"learning_rate_gamma_w": 0.001,
"lr_scheduler_patience_w": -1,
"adapt_learning_rate_after_minibatch": false,
"w_trainable": [
true
]
},
"augmentation": {},
"image_statistics": {},
"approximation_setting": {}
}

BIN
settings/FASHION_MNIST/CNN/log_2023_01_14_22_04_04.txt.gz Normal file
View file

Binary file not shown.

97
settings/FASHION_MNIST/CNN/network.json Normal file
View file

@ -0,0 +1,97 @@
{
"network_structure": {
"number_of_output_neurons": 10,
"layer_type": [
"CONV2D",
"RELU",
"MAX POOLING",
"CONV2D",
"RELU",
"MAX POOLING",
"CONV2D",
"RELU",
"CONV2D"
],
"strides": [
[
1,
1
], // "CONV2D"
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
1,
1
], // "CONV2D"
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
1,
1
], // "CONV2D"
[], // "RELU",
[
1,
1
] // "CONV2D"
],
"forward_neuron_numbers": [
[
1,
32
], // "CONV2D",
[], // "RELU",
[], // "MAX POOLING",
[
32,
64
], // "CONV2D",
[], // "RELU",
[], // "MAX POOLING",
[
64,
96
], // "CONV2D",
[], // "RELU",
[
96,
10
] // "CONV2D",
],
"forward_kernel_size": [
[
5,
5
], // "CONV2D",
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
5,
5
], // "CONV2D",
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
3,
3
], // "CONV2D",
[], // "RELU",
[
1,
1
] // "CONV2D",
]
}
}

BIN
settings/FASHION_MNIST/CNN/test_error.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Bias_L0_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Bias_L3_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Bias_L6_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Bias_L8_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Weight_L0_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Weight_L3_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Weight_L6_S199.npy Normal file
View file

Binary file not shown.

BIN
settings/MNIST/CNN/Weights/Weight_L8_S199.npy Normal file
View file

Binary file not shown.

4
settings/MNIST/CNN/dataset.json Normal file
View file

@ -0,0 +1,4 @@
{
"data_path": "./DATA_MNIST/",
"data_mode": "MNIST"
}

19
settings/MNIST/CNN/def.json Normal file
View file

@ -0,0 +1,19 @@
{
"epoch_id_max": 200,
"batch_size": 24,
"stage_id": 0,
"simulation_id": 0,
"learning_parameters": {
"loss_mode": 1, // X-Entropy
"number_of_batches_for_one_update": 20,
"learning_rate_gamma_w": 0.001,
"lr_scheduler_patience_w": -1,
"adapt_learning_rate_after_minibatch": false,
"w_trainable": [
true
]
},
"augmentation": {},
"image_statistics": {},
"approximation_setting": {}
}

BIN
settings/MNIST/CNN/log_2023_01_14_19_45_42.txt.gz Normal file
View file

Binary file not shown.

97
settings/MNIST/CNN/network.json Normal file
View file

@ -0,0 +1,97 @@
{
"network_structure": {
"number_of_output_neurons": 10,
"layer_type": [
"CONV2D",
"RELU",
"MAX POOLING",
"CONV2D",
"RELU",
"MAX POOLING",
"CONV2D",
"RELU",
"CONV2D"
],
"strides": [
[
1,
1
], // "CONV2D"
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
1,
1
], // "CONV2D"
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
1,
1
], // "CONV2D"
[], // "RELU",
[
1,
1
] // "CONV2D"
],
"forward_neuron_numbers": [
[
1,
32
], // "CONV2D",
[], // "RELU",
[], // "MAX POOLING",
[
32,
64
], // "CONV2D",
[], // "RELU",
[], // "MAX POOLING",
[
64,
96
], // "CONV2D",
[], // "RELU",
[
96,
10
] // "CONV2D",
],
"forward_kernel_size": [
[
5,
5
], // "CONV2D",
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
5,
5
], // "CONV2D",
[], // "RELU",
[
2,
2
], // "MAX POOLING",
[
3,
3
], // "CONV2D",
[], // "RELU",
[
1,
1
] // "CONV2D",
]
}
}

BIN
settings/MNIST/CNN/test_error.npy Normal file
View file

Binary file not shown.