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Free Download NI LabWindows CVI 2012 Crack And Keygen




# Created by Slava Gatarevich import numpy as np import tensorflow as tf import matplotlib.pyplot as plt import seaborn as sns from sklearn import tree from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from keras.layers import Embedding from keras.callbacks import ModelCheckpoint from keras.wrappers.scikit_learn import KerasClassifier from keras.preprocessing.text import Tokenizer from keras.utils import to_categorical from keras import backend as K import pandas as pd df=pd.read_csv("data/reuters.csv") print(df.shape) df.index=pd.to_datetime(df.index) df_mul=df.assign( label_norm=df.label_norm.astype(float).apply(lambda x: np.exp(x)).apply( np.power ).astype(int), label_norm_sum=df.label_norm.sum() ) x_train, x_test, y_train, y_test= train_test_split(df_mul,df_mul['label_norm'],test_size=0.2) model=Sequential() model.add(LSTM(100,input_dim=5,return_sequences=True,return_state=True)) model.add(Dropout(0.3)) model.add(LSTM(100,return_sequences=False,return_state=True)) model.add(LSTM(1)) model.add(Dense(1)) model.add(Activation('sigmoid')) model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']),




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Free Download NI LabWindows CVI 2012 Crack And Keygen

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