koshian2’s gists

koshian2 / compare_optuna.py

Created December 21, 2018 15:05

Conv2D, DepthwiseConv2D, SeparableConv2D compare on CIFAR-10 by Optuna

	import tensorflow as tf
	from tensorflow.keras.layers import Conv2D, DepthwiseConv2D, SeparableConv2D, BatchNormalization, Activation, Input, GlobalAveragePooling2D, Dense, AveragePooling2D
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import Callback, History
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10
	from keras.utils import to_categorical
	import time, optuna, os

koshian2 / compare.py

Last active June 4, 2019 14:32

Conv2D, DepthwiseConv2D, SeparableConv2D compare on CIFAR-10

	from keras.layers import Conv2D, DepthwiseConv2D, SeparableConv2D, BatchNormalization, Activation, Input, GlobalAveragePooling2D, AveragePooling2D, Dense
	from keras.models import Model
	from keras.callbacks import Callback

	from keras.datasets import cifar10
	from keras.utils import to_categorical
	import time, pickle

	def create_block(mode, input, ch):
	if mode == 0:

koshian2 / optuna_cifar_keras.py

Created December 7, 2018 16:26

Optuna Keras

	import tensorflow as tf
	from tensorflow.keras.applications import InceptionV3, VGG16, MobileNet
	from tensorflow.keras.layers import GlobalAveragePooling2D, Dense
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import History, Callback
	import tensorflow.keras.backend as K
	from tensorflow.contrib.tpu.python.tpu import keras_support

	from keras.utils import to_categorical
	from keras.datasets import cifar10

koshian2 / mobilenet_active_ricap.py

Created December 5, 2018 06:39

RICAP on CIFAR

	import tensorflow as tf
	from tensorflow.keras.applications import MobileNet
	from tensorflow.keras.layers import GlobalAveragePooling2D, Dense
	from tensorflow.keras.models import Model
	from tensorflow.keras.preprocessing.image import ImageDataGenerator
	from tensorflow.keras.callbacks import History, Callback
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10

koshian2 / active_ricap.py

Last active December 5, 2018 06:39

RICAP on CIFAR

	import tensorflow as tf
	from tensorflow.keras.layers import Conv2D, BatchNormalization, Activation, Input, AveragePooling2D, GlobalAveragePooling2D, Dense
	from tensorflow.keras.models import Model
	from tensorflow.keras.preprocessing.image import ImageDataGenerator
	from tensorflow.keras.callbacks import History, Callback
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10
	from keras.utils import to_categorical

koshian2 / static_ricap.py

Created December 5, 2018 05:02

RICAP on CIFAR

	import tensorflow as tf
	from tensorflow.keras.layers import Conv2D, BatchNormalization, Activation, Input, AveragePooling2D, GlobalAveragePooling2D, Dense
	from tensorflow.keras.models import Model
	from tensorflow.keras.preprocessing.image import ImageDataGenerator
	from tensorflow.keras.callbacks import History
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10
	from keras.utils import to_categorical

koshian2 / mobilenet.py

Last active April 23, 2020 09:31

Insert dropout to MobileNet

	import tensorflow as tf
	from tensorflow.keras.applications import MobileNet
	from tensorflow.keras.layers import GlobalAveragePooling2D, Dense, Dropout
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import History
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10
	from keras.utils import to_categorical

koshian2 / vgg_summary.txt

Created November 29, 2018 01:17

Insert batchnorm to vgg summary

	_________________________________________________________________
	Layer (type) Output Shape Param #
	=================================================================
	input_1 (InputLayer) (None, 64, 64, 3) 0
	_________________________________________________________________
	block1_conv1 (Conv2D) (None, 64, 64, 64) 1792
	_________________________________________________________________
	batch_normalization (BatchNo (None, 64, 64, 64) 256
	_________________________________________________________________
	activation (Activation) (None, 64, 64, 64) 0

koshian2 / vgg.py

Created November 29, 2018 00:14

Insert batchnorm to vgg16

	import tensorflow as tf
	from tensorflow.keras.applications import VGG16
	from tensorflow.keras.layers import BatchNormalization, Activation, GlobalAveragePooling2D, Dense
	from tensorflow.keras.models import Model
	import tensorflow.keras.activations as activations
	from tensorflow.keras.callbacks import History
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10

koshian2 / no_ensemble.py

Created November 23, 2018 12:00

Train 5 networks at the same time

	import tensorflow as tf
	from tensorflow.keras.layers import Input, Conv2D, BatchNormalization, Activation, AveragePooling2D, GlobalAvgPool2D, Dense, Concatenate
	from tensorflow.keras.models import Model
	import tensorflow.keras.backend as K
	from tensorflow.keras.callbacks import History, Callback
	from tensorflow.contrib.tpu.python.tpu import keras_support

	from keras.objectives import categorical_crossentropy
	import numpy as np
	from keras.datasets import cifar10

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