tensorflow


Need help to port snippet from tflearn to keras


I have this snippet from this guide[1], but i want to use tf.contrib.Keras instead of tflearn, can anybody help port this code.
tf.reset_default_graph()
net = tflearn.input_data(shape=[None, len(train_x[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(train_y[0]), activation='softmax')
net = tflearn.regression(net)
# Define model and setup tensorboard
model = tflearn.DNN(net, tensorboard_dir='tflearn_logs')
# Start training (apply gradient descent algorithm)
model.fit(train_x, train_y, n_epoch=1000, batch_size=8, show_metric=True)
model.save('model.tflearn')
# loading model
model.load('./model.tflearn')
1). https://chatbotsmagazine.com/contextual-chat-bots-with-tensorflow-4391749d0077

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