scientist1642

{
  "trivia_categories": [
    {
      "id": 9,
      "name": "გენერალური"
    },
    {
      "id": 10,
      "name": "Entertainment: Books"
    },

scientist1642

numpy -> pytorch
___

* `t.shape | t.size()`
* `numpy.expand_dims(dim) | unsqueeze(dim)`

scientist1642

 Exit on error #
set -e

# Clean up #
rm -rf ~/tools/programs/libevent
rm -rf ~/tools/programs/ncurses
rm -rf ~/tools/programs/tmux

# Variable version #
TMUX_VERSION=2.2

scientist1642

x_train = np.reshape(x_train,(x_train.shape[0],x_train.shape[1], 1))
x_test = np.reshape(x_test,(x_test.shape[0],x_test.shape[1], 1))
model = Sequential()  
model.add(LSTM(100,input_dim=1,return_sequences=False))  
#model.add(Dense(100,init='normal')) 
model.add(Dense(8,init='normal'))  
model.add(Activation("linear"))  
model.compile(loss="mean_squared_error", optimizer="adam") 

scientist1642

scientist1642

initializer 'log_formatting.rb', <<-CODE
  bar = 1
  puts "#{bar}"
CODE

scientist1642

initializer 'log_formatting.rb', <<-CODE
  puts "#{something}"
CODE

scientist1642

web: bundle exec unicorn -p $PORT -c ./config/unicorn.rb

scientist1642

"\e[1~": beginning-of-line
"\e[4~": end-of-line
“\e[5~”: history-search-backward
“\e[6~”: history-search-forward
"\e[3~": delete-char
"\e[2~": quoted-insert
"\e[5C": forward-word
"\e[5D": backward-word
"\e\e[C": forward-word
"\e\e[D": backward-word

scientist1642

#include <algorithm>
#include <iostream>
#include <sstream>
#include <string>
#include <vector>
#include <queue>
#include <set>
#include <map>
#include <cstdio>
#include <cstdlib>