artificialsoph

import keras
import numpy as np
import tensorflow as tf
from keras import backend as K
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn import metrics
import functools

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#############################################################
##################### New Code to include ###################
#     Run this at the start of class locally or in colab    #
#############################################################

%pylab inline

import gensim.downloader as api
google_vec_file = api.load("word2vec-google-news-300", return_path=True)

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