Asad Raza Kazmi cybermascot

## guess_candidate_model.py
from sklearn.cross_validation import train_test_split
from keras.preprocessing import sequence, text
from keras.models import Sequential
from keras.layers import (Dense, Dropout, Activation, Embedding, LSTM,
                            Convolution1D, MaxPooling1D)

# Embedding
max_features = 20000
maxlen = 100
embedding_size = 32

## FunctionGenerator.ino
#include "wavetable.h"

float seconds = 0;
int i = 0;
int num_readings = 0;

void setup()
{
  Serial.begin(115200);
	from sklearn.cross_validation import train_test_split
	from keras.preprocessing import sequence, text
	from keras.models import Sequential
	from keras.layers import (Dense, Dropout, Activation, Embedding, LSTM,
	Convolution1D, MaxPooling1D)

	# Embedding
	max_features = 20000
	maxlen = 100
	embedding_size = 32
	#include "wavetable.h"

	float seconds = 0;
	int i = 0;
	int num_readings = 0;

	void setup()
	{
	Serial.begin(115200);