SYMBOL INDEX (45 symbols across 8 files)

FILE: ntm/addressing.py
  function cosine_sim (line 7) | def cosine_sim(a_t, b_t):
  function content_focus (line 22) | def content_focus(k_t, b_t, mem):
  function shift (line 52) | def shift(w_gt, s_t):
  function location_focus (line 89) | def location_focus(g_t, s_t, gamma_t, w_old, w_content):
  function create_weights (line 122) | def create_weights(k_t, b_t, g_t, s_t, gamma_t, w_old, mem):

FILE: ntm/memory.py
  function read (line 8) | def read(mem, weight_vector):
  function write (line 19) | def write(mem, w_t, e_t, a_t):

FILE: ntm/new_cos.py
  function cosine_sim (line 18) | def cosine_sim(a_t, b_t):

FILE: ntm/newmem.py
  function softmax_0 (line 14) | def softmax_0(Ks):

FILE: ntm/ntm.py
  class NTM (line 13) | class NTM(object):
    method __init__ (line 18) | def __init__(self, in_size, out_size, hidden_size, N, M, vec_size):
    method lossFun (line 89) | def lossFun(self, inputs, targets, manual_grad=False):

FILE: util/optimizers.py
  function l2 (line 6) | def l2(x):
  class RMSProp (line 12) | class RMSProp(object):
    method __init__ (line 18) | def __init__(self, W, learning_rate=10e-5, decay=0.95, blend=0.95):
    method update_weights (line 45) | def update_weights(self, params, dparams):

FILE: util/sequences.py
  function ngram_table (line 7) | def ngram_table(bits):
  function sample_ngram (line 20) | def sample_ngram(table, context, n):
  function copy_sequence (line 31) | def copy_sequence(seq_len, vec_size):
  function easy_copy (line 69) | def easy_copy(seq_len, vec_size):
  function repeat_copy (line 84) | def repeat_copy(seq_len, vec_size, repeats):
  function associative_recall (line 132) | def associative_recall(seq_len, vec_size, item_size):
  function priority_sort (line 182) | def priority_sort(seq_len, vec_size):
  function ngrams (line 224) | def ngrams(seq_len, n):
  class SequenceGen (line 248) | class SequenceGen(object):
    method __init__ (line 253) | def __init__(self, sequenceType, vec_size, hi, lo):

FILE: util/util.py
  function gradCheck (line 10) | def gradCheck(model, deltas, inputs, targets, epsilon, tolerance):
  function getDiffs (line 35) | def getDiffs(model, deltas, inputs, targets, epsilon):
  function rando (line 73) | def rando(out_size,in_size):
  function sigmoid (line 80) | def sigmoid(ys):
  function softmax (line 87) | def softmax(xs):
  function softplus (line 96) | def softplus(xs):
  function serialize (line 103) | def serialize(filename, data):
  function deserialize (line 112) | def deserialize(filename):
  function toArray (line 122) | def toArray(dic,h,w):
  function visualize (line 135) | def visualize(inputs, outputs, reads, writes, adds, erases):
  function unwrap (line 157) | def unwrap(x):
  function sigmoid_prime (line 185) | def sigmoid_prime(z):
  function tanh_prime (line 189) | def tanh_prime(z):
  function compare_deltas (line 193) | def compare_deltas(baseline=None, candidate=None, abs_tol=1e-5, rel_tol=...
  function cosine_sim (line 208) | def cosine_sim(a_t, b_t):
  function dKdu (line 223) | def dKdu(u, v):
  function softmax_grads (line 237) | def softmax_grads(Ks, beta, i, j):
  function beta_grads (line 248) | def beta_grads(Ks, beta, i):
  function K_focus (line 259) | def K_focus(Ks, b_t):