In [1]:
from keras.preprocessing import sequence
from keras.optimizers import SGD, RMSprop, Adagrad
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.layers.embeddings import Embedding
from keras.layers.recurrent import LSTM, GRU
from keras.datasets import imdb
import numpy as np
import numpy.random as npr
import matplotlib.pyplot as plt
%matplotlib inline
import mdtraj
plt.rc('font', family='serif')
In [2]:
model = Sequential()
model.add(LSTM(10))
In [2]:
import keras
In [ ]:
keras