Python Layerの例

コード例 #1

ファイル: network_config_4.py プロジェクト: luhc300/DeepDiff

from src.cnn_builder import Layer

DROPOUT_PROB = 0.6
NETWORK_STRUCTURE = [
    Layer("conv", [3, 3, 3, 64]),
    Layer("conv", [3, 3, 64, 64]),
    Layer("pool", []),
    Layer("conv", [3, 3, 64, 128]),
    Layer("conv", [3, 3, 128, 128]),
    Layer("pool", []),
    Layer("conv", [3, 3, 128, 256]),
    Layer("conv", [3, 3, 256, 256]),
    Layer("conv", [3, 3, 256, 256]),
    Layer("pool", []),
    Layer("conv", [3, 3, 256, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("pool", []),
    Layer("conv", [3, 3, 512, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("dense", [2 * 2 * 512, 4096]),
    Layer("dense", [4096, 4096]),
    Layer("dense", [4096, 10])
]
NETWORK_ANCHOR = -4
NETWORK_PATH = "model/cifar/model_4.ckpt"
INIT = 0.0
LEARNING_RATE = 1e-4
DISTRIBUTION_PATH = "profile/cifar/model4VGG_mdist_distribution.pkl"

コード例 #2

from src.cnn_builder import Layer

DROPOUT_PROB = 0.6
NETWORK_STRUCTURE = [
    Layer("conv", [3, 3, 3, 64]),
    Layer("conv", [3, 3, 64, 64]),
    Layer("pool", []),
    Layer("conv", [3, 3, 64, 128]),
    Layer("conv", [3, 3, 128, 128]),
    Layer("pool", []),
    Layer("conv", [3, 3, 128, 256]),
    Layer("conv", [3, 3, 256, 256]),
    Layer("conv", [3, 3, 256, 256]),
    Layer("pool", []),
    Layer("conv", [3, 3, 256, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("pool", []),
    Layer("conv", [3, 3, 512, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("conv", [3, 3, 512, 512]),
    Layer("dense", [2 * 2 * 512, 4096]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [4096, 4096]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [4096, 10])
]
NETWORK_ANCHOR = -4
NETWORK_PATH = "model/cifar/model_2.ckpt"
INIT = 0.0
LEARNING_RATE = 1e-4

コード例 #3

from src.cnn_builder import Layer

DROPOUT_PROB = 1
NETWORK_STRUCTURE = [
    Layer("conv", [5, 5, 3, 32]),
    Layer("pool", []),
    Layer("conv", [5, 5, 32, 64]),
    Layer("pool", []),
    Layer("dense", [8 * 8 * 64, 1024]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [1024, 10])
]
NETWORK_ANCHOR = -2
NETWORK_PATH = "model/cifar/model_1.ckpt"
INIT = 1e-1
LEARNING_RATE = 1e-3

コード例 #4

ファイル: network_config_3.py プロジェクト: luhc300/DeepLearningDebugging

from src.cnn_builder import Layer

DROPOUT_PROB = 1
NETWORK_STRUCTURE = [
    Layer("dense", [28 * 28 * 1, 1024]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [1024, 10])
]
NETWORK_ANCHOR = -2
NETWORK_PATH = "model/mnist/model_3.ckpt"
INIT = 1e-1
LEARNING_RATE = 1e-2
DISTRIBUTION_PATH = "profile/mnist/model3_mdist_distribution.pkl"

コード例 #5

from src.cnn_builder import Layer

DROPOUT_PROB = 1
NETWORK_STRUCTURE = [
    Layer("conv", [5, 5, 1, 16]),
    Layer("pool", []),
    Layer("dense", [14 * 14 * 16, 1024]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [1024, 10])
]
NETWORK_ANCHOR = -4
NETWORK_PATH = "model/mnist/model_2.ckpt"
INIT = 1e-1
LEARNING_RATE = 1e-3
DISTRIBUTION_PATH = "profile/mnist/model2_mdist_distribution.pkl"

コード例 #6

from src.cnn_builder import Layer

DROPOUT_PROB = 1
NETWORK_STRUCTURE = [
    Layer("conv", [3, 3, 1, 32]),
    Layer("conv", [3, 3, 32, 32]),
    Layer("pool", []),
    Layer("conv", [3, 3, 32, 64]),
    Layer("conv", [3, 3, 64, 64]),
    Layer("pool", []),
    Layer("dense", [7 * 7 * 64, 200]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [200, 200]),
    Layer("dense", [200, 10])
]
NETWORK_ANCHOR = -2
NETWORK_PATH = "model/mnist/model_4.ckpt"
INIT = 1e-1
LEARNING_RATE = 1e-3
DISTRIBUTION_PATH = "profile/mnist/model4_mdist_distribution.pkl"

コード例 #7

ファイル: network_config_3.py プロジェクト: luhc300/DeepDiff

from src.cnn_builder import Layer

DROPOUT_PROB = 1
NETWORK_STRUCTURE = [
    Layer("dense", [28 * 28 * 1, 256]),
    Layer("dropout", [DROPOUT_PROB]),
    Layer("dense", [256, 10])
]
NETWORK_ANCHOR = -2
NETWORK_PATH = "model/mnist/model_3.ckpt"
INIT = 1e-1
LEARNING_RATE = 1e-2
DISTRIBUTION_PATH = "profile/mnist/model3_mdist_distribution.pkl"

コード例 #8

from src.cnn_builder import Layer

DROPOUT_PROB = 1
NETWORK_STRUCTURE = [
    Layer("conv", [3, 3, 1, 32]),
    Layer("conv", [3, 3, 32, 32]),
    Layer("pool", []),
    Layer("conv", [3, 3, 32, 64]),
    Layer("conv", [3, 3, 64, 64]),
    Layer("pool", []),
    Layer("dense", [7 * 7 * 64, 200]),
    Layer("dense", [200, 200]),
    Layer("dense", [200, 3])
]
NETWORK_ANCHOR = -2
NETWORK_PATH = "model/mnist/model_6.ckpt"
INIT = 1e-1
LEARNING_RATE = 1e-3
DISTRIBUTION_PATH = "profile/mnist/model6_mdist_distribution.pkl"