NMZivkovic

import tensorflow as tf
from tensorflow.contrib import rnn

class RNNGenerator:
    def create_LSTM(self, inputs, weights, biases, seq_size, num_units):
        # Reshape input to [1, sequence_size] and split it into sequences
        inputs = tf.reshape(inputs, [-1, seq_size])
        inputs = tf.split(inputs, seq_size, 1)
    
        # LSTM with 2 layers

NMZivkovic

import tensorflow as tf
import random
import numpy as np

class SessionRunner():
    training_iters = 50000
            
    def __init__(self, optimizer, accuracy, cost, lstm, initilizer, writer):
        self.optimizer = optimizer
        self.accuracy = accuracy

NMZivkovic

import tensorflow as tf
from DataHandler import DataHandler
from RNN_generator import RNNGenerator
from session_runner import SessionRunner

log_path = '/output/tensorflow/'
writer = tf.summary.FileWriter(log_path)

# Load and prepare data
data_handler = DataHandler()

NMZivkovic

from keras.preprocessing import sequence 
from keras.models import Sequential 
from keras.layers import Dense, Dropout, Embedding, LSTM 
from keras.datasets import imdb 

NMZivkovic

num_words = 1000 
(X_train, y_train), (X_test, y_test) = imdb.load_data(num_words=num_words) 

NMZivkovic

X_train = sequence.pad_sequences(X_train, maxlen=200) 
X_test = sequence.pad_sequences(X_test, maxlen=200)

NMZivkovic

# Define network architecture and compile 
model = Sequential() 
model.add(Embedding(num_words, 50, input_length=200)) 
model.add(Dropout(0.2)) 
model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2)) 
model.add(Dense(250, activation='relu')) 
model.add(Dropout(0.2)) 
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) 

NMZivkovic

model.fit(X_train, y_train, batch_size=64, epochs=10) 

print('\nAccuracy: {}'. format(model.evaluate(X_test, y_test)[1]))

NMZivkovic

public class Blog
{
    private readonly ICollection<IBlogItem> _items;

    public Blog(ICollection<IBlogItem> items)
    {
        _items = items;
    }

    public void Expand()

NMZivkovic

public interface IBlogItem
{
    void Expand();
}

public class Article : IBlogItem
{
    public void Expand()
    {
        // Article expand implementation.