malaikannan

# Python 3 program to build Bloom Filter 
# Install mmh3 and bitarray 3rd party module first 
# pip install mmh3 
# pip install bitarray 
import math 
import mmh3 
from bitarray import bitarray 

class BloomFilter(object): 

malaikannan

import os
import traceback
from bloomfilter import BloomFilter 
import jellyfish

edit_distance = 2
tamil_unique_words_file_path = "tamilwordlist.txt"
bloom_filter_file_path = "tamil_bloom_filter.txt"

def read_tamil_words_listfile(tamil_unique_words_file_path):

malaikannan

import requests
from bs4 import BeautifulSoup
import tamil
import os
from bloomfilter import BloomFilter 

# URL for Project Madurai
base_url = 'https://www.projectmadurai.org'
bloom_filter_file_path = "tamil_bloom_filter.txt"

malaikannan

USER INPUT NODE

I can tell you Chuck Norris jokes that you can hear, even with your ears closed.

TOPIC SELECTOR NODE

Two topics 1) Greetings 2) Chuck Norris Jokes

Greetings

malaikannan

USER INPUT NODE

Welcome message: Hi! I can help you convert from one currency type to another.

TOPIC SELECTOR NODE

Greeting:

Hello
Hi

malaikannan

(X_train, y_train), (X_test, y_test) = mnist.load_data()
# plot 4 images as gray scale
plt.subplot(221)
plt.imshow(X_train[20], cmap=plt.get_cmap('gray'))
plt.subplot(222)
plt.imshow(X_train[23], cmap=plt.get_cmap('gray'))
plt.subplot(223)
plt.imshow(X_train[42], cmap=plt.get_cmap('gray'))
plt.subplot(224)
plt.imshow(X_train[54], cmap=plt.get_cmap('gray'))

malaikannan

import os
os.environ['KERAS_BACKEND'] = 'tensorflow'
import keras
import matplotlib as plt
from keras.datasets import mnist
import matplotlib.pyplot as plt

malaikannan

0.468534325458
0.464193701547
0.459686450749
0.454970093343
0.450008466033
0.444771502862
0.439235147048
0.433381398721
0.42719846303
0.42068094941

malaikannan

    #update weights
    synapses_1 += l1.T.dot(l2_delta)
    synapses_0 += l0.T.dot(l1_delta)

print "Output after training"
print l2

malaikannan

    l1_error = l2_delta.dot(synapses_1.T)

    l1_delta = l1_error*sigmoid(l1, derivative=True)