keras2TF_modelfit.py

import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Reshape
from keras.layers import Conv1D, MaxPooling1D
from keras.utils import np_utils

TIME_PERIODS = 21 # Number of steps in a time series sample

model = Sequential()
model.add(Dense(100, activation='relu', input_shape=(21,)))
model.add(Dense(1, activation='sigmoid'))

print(model.summary())

model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

BATCH_SIZE = 100
EPOCHS = 5

history = model.fit(normdata,
                      labels,
                      batch_size=BATCH_SIZE,
                      epochs=EPOCHS,
                      validation_split=0.8,
                      verbose=1)