shivamsaboo17

import numpy as np
import pickle

"""
To use this RNN model do the following:
from rnn import RNN
model = RNN(word_dim, hidden_dim, truncte_back_prop_steps)
model.train(model, x_train, y_train, learning_rate, epochs, calculate_loss_after)
model.predict(x)
model.save_model(file_name)

shivamsaboo17

import numpy as np
import tensorflow as tf
from sklearn.manifold import TSNE
from sklearn import preprocessing
import matplotlib.pyplot as plt

corpus_raw = 'He is the king . The king is royal . She is the royal  queen . The queen loves king'
# Convert the corpus to lower case
corpus_raw = corpus_raw.lower()

shivamsaboo17

package snladder;

import java.util.*;

public class Board {
	
	// The board class defines the board
	// We use Hash Maps for storing data about snakes and ladders.
	
	private HashMap<Integer, Integer> board = new HashMap<>();