Subhash Ramesh techscientist

## model_to_release.py
import keras
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout, TimeDistributedDense
from keras.layers.recurrent import LSTM, SimpleRNN

def build_model(num_layers=2, num_units=256, maxlen_rnn=50, dim_label=50):
    '''
    num_layers: in [2, 3]
    num_units: in [256, 512, 1024]

## zillaweather.py
import zillabyte

twilio_sid = "SID_HERE"
twilio_auth = "AUTH_HERE"

class TwilioEach:

  def prepare(self, controller):
    # Dictionary of phone numbers subscribed to cities (just for show with small sample, please use a
    # REAL source when using a significant number of phone numbers)

## autoenhance.py
#!/usr/bin/python
#
# Copyright 2013 Gerwin Sturm, FoldedSoft e.U.
# www.foldedsoft.at / google.com/+GerwinSturm
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
	import keras
	from keras.models import Sequential
	from keras.layers.core import Dense, Activation, Dropout, TimeDistributedDense
	from keras.layers.recurrent import LSTM, SimpleRNN

	def build_model(num_layers=2, num_units=256, maxlen_rnn=50, dim_label=50):
	'''
	num_layers: in [2, 3]
	num_units: in [256, 512, 1024]
	import zillabyte

	twilio_sid = "SID_HERE"
	twilio_auth = "AUTH_HERE"

	class TwilioEach:

	def prepare(self, controller):
	# Dictionary of phone numbers subscribed to cities (just for show with small sample, please use a
	# REAL source when using a significant number of phone numbers)
	#!/usr/bin/python
	#
	# Copyright 2013 Gerwin Sturm, FoldedSoft e.U.
	# www.foldedsoft.at / google.com/+GerwinSturm
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0