nesterione

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test 

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import pandas as pd
from keras.models import load_model

model = load_model('./nn_dence.h5')
model.load_weights('./nn_dence_weights.h5')

# model = load_model('./nn_cnn.h5')
# model.load_weights('./nn_cnn_weights.h5')

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from __future__ import print_function
import keras
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
import numpy as np

batch_size = 32

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# https://keras.io/getting-started/sequential-model-guide/
from __future__ import print_function
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
import pandas as pd

data = pd.read_csv("./data/train.csv")
data_set = data.as_matrix()

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for (KeyValuePair keyValuePair : rootNode.getMetadata()) {
    if (StringUtils.startsWith(keyValuePair.getKey(), id)) {
       rootNode.getMetadata().remove(keyValuePair);
    }
}

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public static List<KeyValuePair> secretMethodName(Tree tree) {
        List<KeyValuePair> metadata = new ArrayList<>();
        KeyValuePair treeId = new KeyValuePair();
        treeId.setKey(tree.getId());
        treeId.setValue(tree.getRootNodeIds().get(0));
        metadata.add(treeId);

        KeyValuePair description = new KeyValuePair();
        treeId.setKey(tree.getId() + "_" + MetadataConstants.DESCRIPTION_KEY);
        treeId.setValue(tree.getDescription());

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https://docs.google.com/presentation/d/1kSl2IarAmOlgWDTQ8MJ-7Nry5GZP-dhrHCp0GfIkGYM/edit?usp=drivesdk

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                res.write("HTTP/1.1 200 OK\r\n".getBytes());
                res.write("Date: Mon, 23 May 2005 22:38:34 GMT\r\n".getBytes());
                res.write("Server: HApache/1.3.3.7 (Unix) (Red-Hat/Linux)\r\n".getBytes());
                res.write("Content-Type: image/jpg\r\n".getBytes());
                res.write("Content-Disposition: attachment; filename=home.jpg\r\n".getBytes());
                res.write(String.format("Content-Length: %d\r\n",imageInByte.length).getBytes());
                res.write("Accept-Ranges: bytes\r\n".getBytes());
                res.write("Connection: close\r\n".getBytes());
                res.write("\r\n".getBytes());
                res.write(imageInByte);

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# с каждой новой строки
a = int(input("enter something\n"))
b = int(input("enter something else\n"))
print(a,b)

# Если через пробел разделять переменные, то:
s = input("enter two numbers");
# разбить строку по пробелам
s = s.split()
a = int(s[0])