Use tensorflow keras nowadays
Jeff Moe
parent
3f6434f6dd
commit
6be11cb7aa
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@ -22,6 +22,8 @@
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# wut-dl-sort-txmode CW 1467000 1470000
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# For December, 2019 Example:
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# wut-dl-sort-txmode CW 1292461 1470525
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# For July, 2022 Example:
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# wut-dl-sort-txmode BPSK1k2 6154228 6283338
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#
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# * Takes the files in the download/ dir.
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# * Looks at the JSON files to see if it is :good", "bad", or "failed".
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28
src/wut-ml
28
src/wut-ml
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@ -16,25 +16,25 @@
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import os
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import numpy as np
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import tensorflow.python.keras
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras import optimizers
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.models import load_model
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from tensorflow.keras.preprocessing.image import load_img
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from tensorflow.keras.preprocessing.image import img_to_array
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# XXX
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from tensorflow.python.keras.models import Model
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from tensorflow.python.keras.layers import Input, concatenate
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#from tensorflow.python.keras.optimizers import Adam
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from tensorflow.keras.models import Model
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from tensorflow.keras.layers import Input, concatenate
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#from tensorflow.keras.optimizers import Adam
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# XXX Plot
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from tensorflow.python.keras.utils import plot_model
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from tensorflow.python.keras.callbacks import ModelCheckpoint
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from tensorflow.keras.utils import plot_model
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from tensorflow.keras.callbacks import ModelCheckpoint
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## for visualizing
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import matplotlib.pyplot as plt, numpy as np
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from sklearn.decomposition import PCA
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@ -16,25 +16,25 @@
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import os
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import numpy as np
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import tensorflow.python.keras
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras import optimizers
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.models import load_model
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from tensorflow.keras.preprocessing.image import load_img
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from tensorflow.keras.preprocessing.image import img_to_array
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# XXX
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from tensorflow.python.keras.models import Model
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from tensorflow.python.keras.layers import Input, concatenate
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#from tensorflow.python.keras.optimizers import Adam
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from tensorflow.keras.models import Model
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from tensorflow.keras.layers import Input, concatenate
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#from tensorflow.keras.optimizers import Adam
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# XXX Plot
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from tensorflow.python.keras.utils import plot_model
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from tensorflow.python.keras.callbacks import ModelCheckpoint
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from tensorflow.keras.utils import plot_model
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from tensorflow.keras.callbacks import ModelCheckpoint
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## for visualizing
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import matplotlib.pyplot as plt, numpy as np
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from sklearn.decomposition import PCA
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@ -20,15 +20,15 @@
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import os
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import numpy as np
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import tensorflow.python.keras
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras import optimizers
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.models import load_model
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from tensorflow.keras.preprocessing.image import load_img
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from tensorflow.keras.preprocessing.image import img_to_array
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model = load_model('/srv/satnogs/data/wut.h5')
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img_width=256
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@ -19,15 +19,15 @@
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import os
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import numpy as np
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import tensorflow.python.keras
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras import optimizers
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.models import load_model
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from tensorflow.keras.preprocessing.image import load_img
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from tensorflow.keras.preprocessing.image import img_to_array
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datagen = ImageDataGenerator()
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train_it = datagen.flow_from_directory('/srv/satnogs/data/train/', class_mode='binary')
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@ -15,17 +15,17 @@ import datetime
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import tensorflow as tf
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import tensorflow.python.keras
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from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras.layers import Input, concatenate
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.models import Model
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.keras import optimizers
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras.layers import Input, concatenate
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from tensorflow.keras.models import load_model
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from tensorflow.keras.models import Model
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.preprocessing.image import img_to_array
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.preprocessing.image import load_img
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os.environ["TF_CONFIG"] = json.dumps({
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"cluster": {
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"worker": [ "ml1-int:2222", "ml2-int:2222", "ml3-int:2222", "ml4-int:2222", "ml5-int:2222" ]
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@ -15,17 +15,17 @@ import datetime
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import tensorflow as tf
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import tensorflow.python.keras
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from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras.layers import Input, concatenate
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.models import Model
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.keras import optimizers
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras.layers import Input, concatenate
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from tensorflow.keras.models import load_model
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from tensorflow.keras.models import Model
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.preprocessing.image import img_to_array
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.preprocessing.image import load_img
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tf.keras.backend.clear_session()
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tf.config.optimizer.set_jit(True)
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@ -19,17 +19,17 @@ import datetime
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import tensorflow as tf
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import tensorflow.python.keras
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from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
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from tensorflow.python.keras import optimizers
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from tensorflow.python.keras import Sequential
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from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.python.keras.layers import Input, concatenate
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.models import Model
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.preprocessing.image import load_img
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from tensorflow.keras import optimizers
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from tensorflow.keras import Sequential
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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense
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from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
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from tensorflow.keras.layers import Input, concatenate
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from tensorflow.keras.models import load_model
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from tensorflow.keras.models import Model
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from tensorflow.keras.preprocessing import image
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from tensorflow.keras.preprocessing.image import img_to_array
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from tensorflow.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.keras.preprocessing.image import load_img
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from tensorflow.python.data.experimental.ops.distribute_options import AutoShardPolicy
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get_ipython().run_line_magic('matplotlib', 'inline')
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import matplotlib.pyplot as plt
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