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model = Sequential() | |
model.add(Dense( l[1], input_shape=(l[0],))) | |
for n_w_l in l[2:]: | |
model.add(Activation('relu')) | |
model.add(Dense( n_w_l, W_regularizer = l2(.01))) | |
return model |
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init = tf.initialize_all_variables() | |
a = tf.random_normal([2, 2, 2, 2]) | |
with tf.Session() as sess: | |
sess.run(init) | |
x = sess.run(a) | |
x |
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# This code is for extension of DataFrames. | |
# By the extension, fingerprint can be loaded via string. | |
# Each fingerprint is a set of the binary integers in python. | |
# However, it can be not be loaded directly in Julia, which directly | |
# trainslate a binary integer string to big interger. It is automatic even if | |
# quoto mark is aded. Hence, "Julia" is added on a binary string as a prefix. | |
# By doing that, Julia can read them as a character string rather than a big integer value. | |
# bs2ba() transform binary string to binary array. |
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tolerence = 1e-10 | |
M = rand(2, 2) | |
#w0 = [1., 1] | |
#w = copy( w0) | |
w_org = [1, 1] / norm( [1, 1]) | |
w_full = rand(2, 1) | |
w = w_full / norm( w_full) |
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""" | |
파이썬3로 얼마 만큼 한글 코딩이 가능한지 알아본다. | |
""" | |
import random | |
무작위정수 = random.randint | |
쓰다 = print | |
범위 = range | |
지역변수들 = locals |
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// 예제 프로그램 : | |
// 뱀 경기에서 화면관리를 위해 사용되는 절차를 정의한다. | |
// 화면을 80*60(가로*세로)단위로 관리한다. | |
뱀화면 단원 . | |
사용 뱀입력 . | |
사용 단말기 . | |
절차 시작점 ( ) . | |
절차 마무리 ( ) . |