hadifar’s gists

hadifar / tf_import.py

Last active December 6, 2018 07:09

check tensorflow

	import tensorflow as tf
	print(tf.__version__)

hadifar / tf_import_dataset.py

Last active December 6, 2018 07:09

	from tensorflow import keras
	(x_train, y_train), (x_test, y_test) = keras.datasets.imdb.load_data(num_words=10000)

hadifar / gist:87b03634afe23899edba415655c3397a

Created August 1, 2018 08:59

keras tokenizer-1

>>> print(x_train[0])

[1, 14, 22, 16, 43, 530, 973, 1622, 1385, 65, 458, 4468, 66, 3941, 4, 173, 36, 256, 5, 25, 100, 43, 838, 112, 50, 670, 2, 9, 35, 480, 284, 5, 150, 4, 172, 112, 167, 2, 336, 385, 39, 4, 172, 4536, 1111, 17, 546, 38, 13, 447, 4, 192, 50, 16, 6, 147, 2025, 19, 14, 22, 4, 1920, 4613, 469, 4, 22, 71, 87, 12, 16, 43, 530, 38, 76, 15, 13, 1247, 4, 22, 17, 515, 17, 12, 16, 626, 18, 2, 5, 62, 386, 12, 8, 316, 8, 106, 5, 4, 2223, 5244, 16, 480, 66, 3785, 33, 4, 130, 12, 16, 38, 619, 5, 25, 124, 51, 36, 135, 48, 25, 1415, 33, 6, 22, 12, 215, 28, 77, 52, 5, 14, 407, 16, 82, 2, 8, 4, 107, 117, 5952, 15, 256, 4, 2, 7, 3766, 5, 723, 36, 71, 43, 530, 476, 26, 400, 317, 46, 7, 4, 2, 1029, 13, 104, 88, 4, 381, 15, 297, 98, 32, 2071, 56, 26, 141, 6, 194, 7486, 18, 4, 226, 22, 21, 134, 476, 26, 480, 5, 144, 30, 5535, 18, 51, 36, 28, 224, 92, 25, 104, 4, 226, 65, 16, 38, 1334, 88, 12, 16, 283, 5, 16, 4472, 113, 103, 32, 15, 16, 5345, 19, 178, 32]

hadifar / tf_padding.py

Last active December 6, 2018 07:09

	x_train = keras.preprocessing.sequence.pad_sequences(x_train, maxlen=256)
	x_test = keras.preprocessing.sequence.pad_sequences(x_test, maxlen=256)

hadifar / keras-tokenizer-3

Created August 1, 2018 09:04

	>>> print(x_train[0])
	[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0
	0 0 0 0 0 0 0 0 0 0 0 0 0 0
	0 0 0 0 0 0 0 0 0 0 1 14 22 16
	43 530 973 1622 1385 65 458 4468 66 3941 4 173 36 256
	5 25 100 43 838 112 50 670 2 9 35 480 284 5
	150 4 172 112 167 2 336 385 39 4 172 4536 1111 17
	546 38 13 447 4 192 50 16 6 147 2025 19 14 22
	4 1920 4613 469 4 22 71 87 12 16 43 530 38 76
	15 13 1247 4 22 17 515 17 12 16 626 18 2 5

hadifar / split_dataset.py

Last active December 6, 2018 07:10

	x_val = x_train[:10000]
	y_val = y_train[:10000]

	x_train = x_train[10000:]
	y_train = y_train[10000:]

hadifar / keras_simple_rnn.py

Last active December 6, 2018 07:10

	model = keras.Sequential()
	model.add(keras.layers.Embedding(10000, 16))
	model.add(keras.layers.SimpleRNN(50))
	model.add(keras.layers.Dense(16, activation=tf.nn.relu))
	model.add(keras.layers.Dense(1, activation=tf.nn.sigmoid))

	model.compile(optimizer=tf.train.AdamOptimizer(),
	loss='binary_crossentropy',
	metrics=['accuracy'])

hadifar / train_loop_keras.py

Last active December 6, 2018 07:11

	model.fit(x_train,
	y_train,
	epochs=15,
	batch_size=512,
	validation_data=(x_val, y_val),
	verbose=1)

hadifar / evaluation_keras.py

Last active December 6, 2018 07:11

	evaluation = model.evaluate(x_test, y_test, batch_size=512)
	print('Accuracy:', evaluation[1], 'Loss:', evaluation[0])

hadifar / simpleRnn.py

Last active December 8, 2018 11:06

	class SimpleRNN:
	def __init__():
	self.W_sh = np.zeros(shape=[rnn_size, rnn_size])
	self.W_xh = np.zeros(shape=[word_vecotr_size, rnn_size])
	self.s = np.zeros(shape=[rnn_size,1]

	def step(self, x):
	# update the state
	self.s = np.tanh(np.dot(self.W_sh, self.s) + np.dot(self.W_xh, x))
	# compute the output vector

Amir Hadifar hadifar