nlintz

import tensorflow as tf
import numpy as np

# Parameters
learning_rate = 0.001
decay=.9
training_epochs = 15
batch_size = 100
display_step = 100

nlintz

import numpy as np
from skimage.util import view_as_blocks


def round_down(num, divisor):
    return num - (num % divisor)


def crop_center(img, new_rows, new_cols):
    rows, cols, c = img.shape

nlintz

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.examples.tutorials.mnist import input_data

"""
    Utilities
"""
def orthogonal_initializer(scale=1.1):
    ''' From Lasagne and Keras. Reference: Saxe et al., http://arxiv.org/abs/1312.6120

nlintz

import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import variable_scope as vs
from tensorflow.python.ops.math_ops import sigmoid, tanh
import numpy as np


def softmax(x):
    e_x = np.exp(x - x.max(axis=1)[:, None])