ragvri

Traceback (most recent call last):
  File "/home/raghav/Dropbox/coding/python/snippets/intermediate_python_stuff/send_email.py", line 5, in <module>
    mail = smtplib.SMTP('smpt.gmail.com', 587)
  File "/usr/lib/python3.5/smtplib.py", line 251, in __init__
    (code, msg) = self.connect(host, port)
  File "/usr/lib/python3.5/smtplib.py", line 335, in connect
    self.sock = self._get_socket(host, port, self.timeout)
  File "/usr/lib/python3.5/smtplib.py", line 306, in _get_socket
    self.source_address)
  File "/usr/lib/python3.5/socket.py", line 693, in create_connection

ragvri

import nltk
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
import pickle
import numpy as np
import pandas as pd

lemmatizer = WordNetLemmatizer()

'''

ragvri

import tensorflow as tf
import pickle
import numpy as np
import nltk
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer

lemmatizer = WordNetLemmatizer()

n_nodes_hl1 = 500

ragvri

"""
Using the concept of transfer learning to improve accuracy. VGG16 is a CNN that has been trained on ImageNet data.
We first load this model upto the first fully connected layer. 
"""
import numpy as np
from keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img
from keras.models import Sequential
from keras.layers import Dense, Flatten, Dropout
from keras import applications