alexminnaar

/*
Copyright (c) 2020 Alex Minnaar

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

alexminnaar

class Node:
    def __init__(self, x):
        self.val = x
        self.children = []


def dfs(node, target):
    # if the node is found then return it
    if node.val == target:
        return node

alexminnaar

import numpy as np
from keras.layers import Dropout
from keras import applications
from keras.layers import Dense, GlobalAveragePooling2D, merge, Input
from keras.models import Model

max_words = 10000
epochs = 50
batch_size = 32

alexminnaar

import random


def a_start_check():
    if random.random() > 0.5:
        print "A first"
        return True
    else:
        print "B first"
        return False