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

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

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

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