gazon1

# Как сервисы наподобие youtube завладевавают вниманием?

# Пусть вероятность отвлечься на один фактор = 10%, тогда, если факторов уже 10 (их
# расположение не имеет значения - то есть можно их менять местами), то:

def C(n, k):
    if 0 <= k <= n:
  nn = 1
  kk = 1
  for t in range(1, min(k, n - k) + 1):

gazon1

#!/Bin/bash


# https://unix.stackexchange.com/questions/423401/show-error-message-if-bash-script-terminates-due-to-set-e
set -e

err_report() {
    echo "Error on line $1"
}

gazon1

#!/bin/bash


# credit for catching error:
# https://unix.stackexchange.com/questions/423401/show-error-message-if-bash-script-terminates-due-to-set-e
set -e

err_report() {
    echo "Error on line $1"
}

gazon1

"""Short and sweet LSTM implementation in Tensorflow.

Motivation:
When Tensorflow was released, adding RNNs was a bit of a hack - it required
building separate graphs for every number of timesteps and was a bit obscure
to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`.
Currently the APIs are decent, but all the tutorials that I am aware of are not
making the best use of the new APIs.

Advantages of this implementation: