python-kerasHow can I use Python and Keras to create a recurrent neural network?
To use Python and Keras to create a recurrent neural network, you will need to import the necessary libraries and create the model.
import keras
from keras.layers import SimpleRNN
# Create a simple RNN model
model = keras.models.Sequential()
model.add(SimpleRNN(3, input_shape=(2, 10)))
model.add(keras.layers.Dense(1))
model.compile(optimizer='adam', loss='mse')
This example code creates a simple RNN model with 3 neurons in the hidden layer, 2 timesteps, and 10 features in the input. The output is a single number.
Code explanation
import keras
- imports the Keras library for use in the codefrom keras.layers import SimpleRNN
- imports the SimpleRNN layer from the Keras librarymodel = keras.models.Sequential()
- creates a sequential modelmodel.add(SimpleRNN(3, input_shape=(2, 10)))
- adds a SimpleRNN layer with 3 neurons, 2 timesteps, and 10 features to the modelmodel.add(keras.layers.Dense(1))
- adds a dense layer with a single output to the modelmodel.compile(optimizer='adam', loss='mse')
- compiles the model with the Adam optimizer and mean squared error loss
Helpful links
More of Python Keras
- How can I use Python with Keras to build a deep learning model?
- How can I improve the validation accuracy of my Keras model using Python?
- How do I use validation_data when creating a Keras model in Python?
- How do I check which version of Keras I am using in Python?
- How do I use Python Keras to zip a file?
- How can I use YOLO with Python and Keras?
- How can I use XGBoost, Python and Keras together to build a machine learning model?
- How can I use word2vec and Keras to develop a machine learning model in Python?
- How do I use a webcam with Python and Keras?
- How do I use Python and Keras to create a VGG16 model?
See more codes...