Need help to port snippet from tflearn to keras
I have this snippet from this guide, 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)]) net = tflearn.fully_connected(net, 8) net = tflearn.fully_connected(net, 8) net = tflearn.fully_connected(net, len(train_y), 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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