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Know?more?visit?my?Python?tutorial?page:?https://morvanzhou.github.io/tutorials/
My?Youtube?Channel:?https://www.youtube.com/user/MorvanZhou

Dependencies:
tensorflow:?1.1.0
matplotlib
numpy
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import?tensorflow?as?tf
import?numpy?as?np
import?matplotlib.pyplot?as?plt

tf.set_random_seed（1）
np.random.seed（1）

#?Hyper?Parameters
BATCH_SIZE?=?64
LR_G?=?0.0001???????????#?learning?rate?for?generator
LR_D?=?0.0001???????????#?learning?rate?for?discriminator
N_IDEAS?=?5?????????????#?think?of?this?as?number?of?ideas?for?generating?an?art?work?（Generator）
ART_COMPONENTS?=?15?????#?it?could?be?total?point?G?can?draw?in?the?canvas
PAINT_POINTS?=?np.vstack（[np.linspace（-1?1?ART_COMPONENTS）?for?_?in?range（BATCH_SIZE）]）

#?show?our?beautiful?painting?range
plt.plot（PAINT_POINTS[0]?2?*?np.power（PAINT_POINTS[0]?2）?+?1?c=‘#74BCFF‘?lw=3?label=‘upper?bound‘）
plt.plot（PAINT_POINTS[0]?1?*?np.power（PAINT_POINTS[0]?2）?+?0?c=‘#FF9359‘?lw=3?label=‘lower?bound‘）
plt.legend（loc=‘upper?right‘）
plt.show（）


def?artist_works（）:?????#?painting?from?the?famous?artist?（real?target）
????a?=?np.random.uniform（1?2?size=BATCH_SIZE）[:?np.newaxis]
????paintings?=?a?*?np.power（PAINT_POINTS?2）?+?（a-1）
????return?paintings


with?tf.variable_scope（‘Generator‘）:
????G_in?=?tf.placeholder（tf.float32?[None?N_IDEAS]）??????????#?random?ideas?（could?from?normal?distribution）
????G_l1?=?tf.layers.dense（G_in?128?tf.nn.relu）
????G_out?=?tf.layers.dense（G_l1?ART_COMPONENTS）???????????????#?making?a?painting?from?these?random?ideas

with?tf.variable_scope（‘Discriminator‘）:
????real_art?=?tf.placeholder（tf.float32?[None?ART_COMPONENTS]?name=‘real_in‘）???#?receive?art?work?from?the?famous?artist
????D_l0?=?tf.layers.dense（real_art?128?tf.nn.relu?name=‘l‘）
????prob_artist0?=?tf.layers.dense（D_l0?1?tf.nn.sigmoid?name=‘out‘）??????????????#?probability?that?the?art?work?