<commit_before>from __future__ import print_function
import theano
import theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams
import sys
import time
import numpy as np

sys.path.append("../..")
import DeepLearningStack
from DeepLearningStack import RecurrentNet



#create a deep network defined in AlexNet.xml
if __name__=="__main__":

    #create deep net
    num_timesteps     = 1 
    print ("Creating Recurrent Net for %d time steps"%num_timesteps)
    config            = "RNNArch.xml"
    #random number generator used to initialize the weights<commit_msg>RNN Tutorial Compiled and Worked<commit_after>from __future__ import print_function
import theano
import theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams
import sys
import time
import numpy as np

sys.path.append("../..")
import DeepLearningStack
from DeepLearningStack import RecurrentNet



#create a deep network defined in AlexNet.xml
if __name__=="__main__":

    #create deep net
    num_timesteps     = 2 
    print ("Creating Recurrent Net for %d time steps"%num_timesteps)
    config            = "RNNArch.xml"
    #random number generator used to initialize the weights
{'fraction_non_alphanumeric': 0.061615320566194835, 'fraction_numerical': 0.0016652789342214821, 'mean_word_length': 4.114893617021276, 'pattern_counts': {'":': 2, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 4}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1990296', 'n_tokens_mistral': 359, 'n_tokens_neox': 338, 'n_words': 125}