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#include <iostream> | |
#include <ctime> | |
using namespace std; | |
void main() | |
{ | |
srand((unsigned)time(NULL)); // Set random seed | |
Neuron* neuron = new Neuron(2, 0.1); |
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class A: | |
def __init__(self, percentage): | |
self.percentage = percentage | |
if __name__ == '__main__': | |
data = [A(12), A(32), A(22)] |
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sudo apt-get update | |
sudo apt-get install python-dev libffi-dev libssl-dev zlib1g-dev libncurses5-dev libsqlite3-dev -y | |
tar xvf Python-2.7.*.tar.xz | |
cd Python-2.7.* | |
./configure | |
sudo make -j 4 | |
sudo make altinstall | |
which python2 |
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from random import shuffle | |
tags = ['a', 'b', 'c', 'result'] | |
def get_triangle_type(a, b, c): | |
if a == 90 or b == 90 or c == 90: | |
return "직각" | |
elif a > 90 or b > 90 or c > 90: | |
return "둔각" | |
elif a == b == c == 60: |
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import json | |
import pandas as pd | |
from collections import defaultdict | |
multi_depth_defaultdict = lambda: defaultdict(multi_depth_defaultdict) | |
df = pd.read_excel('category.xlsx') | |
data = multi_depth_defaultdict() |
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""" | |
1. main 함수에서 `async def A`를 호출 후 await 하고, 반환값을 받아 다시 `async def B`를 호출하는 방식 | |
""" | |
import asyncio | |
from socket import socket, AF_INET, SOCK_STREAM |
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from keras.utils import np_utils | |
from keras.datasets import mnist | |
from keras.models import Sequential | |
from keras.layers import Dense, Activation | |
(x_train, y_train), (x_test, y_test) = mnist.load_data() | |
x_train = x_train.reshape(x_train.shape[0], 784).astype('float32') / 255.0 | |
x_test = x_test.reshape(x_test.shape[0], 784).astype('float32') / 255.0 | |
y_train = np_utils.to_categorical(y_train) | |
y_test = np_utils.to_categorical(y_test) |
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http://tykimos.github.io/warehouse/2017-3-8_CNN_Getting_Started_handwriting_shape.zip |
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# Whole data | |
seq = ['g8', 'e8', 'e4', 'f8', 'd8', 'd4', 'c8', 'd8', 'e8', 'f8', 'g8', 'g8', 'g4', | |
'g8', 'e8', 'e8', 'e8', 'f8', 'd8', 'd4', 'c8', 'e8', 'g8', 'g8', 'e8', 'e8', 'e4', | |
'd8', 'd8', 'd8', 'd8', 'd8', 'e8', 'f4', 'e8', 'e8', 'e8', 'e8', 'e8', 'f8', 'g4', | |
'g8', 'e8', 'e4', 'f8', 'd8', 'd4', 'c8', 'e8', 'g8', 'g8', 'e8', 'e8', 'e4'] |
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6 | 148 | 72 | 35 | 0 | 33.6 | 0.627 | 50 | 1 | |
---|---|---|---|---|---|---|---|---|---|
1 | 85 | 66 | 29 | 0 | 26.6 | 0.351 | 31 | 0 | |
8 | 183 | 64 | 0 | 0 | 23.3 | 0.672 | 32 | 1 | |
1 | 89 | 66 | 23 | 94 | 28.1 | 0.167 | 21 | 0 | |
0 | 137 | 40 | 35 | 168 | 43.1 | 2.288 | 33 | 1 | |
5 | 116 | 74 | 0 | 0 | 25.6 | 0.201 | 30 | 0 | |
3 | 78 | 50 | 32 | 88 | 31.0 | 0.248 | 26 | 1 | |
10 | 115 | 0 | 0 | 0 | 35.3 | 0.134 | 29 | 0 | |
2 | 197 | 70 | 45 | 543 | 30.5 | 0.158 | 53 | 1 | |
8 | 125 | 96 | 0 | 0 | 0.0 | 0.232 | 54 | 1 |
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