Skip to content

Instantly share code, notes, and snippets.

@loripandka
loripandka / min-char-rnn.py
Created July 31, 2017 13:50 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
// Stack - Array based implementation.
// Creating a stack of integers.
#include<stdio.h>
#define MAX_SIZE 101
int A[MAX_SIZE]; // integer array to store the stack
int top = -1; // variable to mark top of stack in array
// Push operation to insert an element on top of stack.
/* Queue - Circular Array implementation in C++*/
#include<iostream>
using namespace std;
#define MAX_SIZE 101 //maximum size of the array that will store Queue.
// Creating a class named Queue.
class Queue
{
private:
int A[MAX_SIZE];