python-kerasHow do I plot a model using Python and Keras?
To plot a model using Python and Keras, the following steps can be taken:
- Install the necessary packages, including matplotlib, Keras, and TensorFlow.
- Load the model from the Keras library or create a custom model.
- Compile the model with the appropriate parameters.
- Fit the model to the data.
- Generate a plot of the model by using the model's
summary()
method. - Use the
plot_model()
function from the Keras library to plot the model. - Show the plot by using the
show()
function from the matplotlib library.
Example code
from keras.utils import plot_model
import matplotlib.pyplot as plt
model = keras.Sequential()
model.add(...) # Create model
model.compile(...) # Compile model
model.fit(...) # Fit model
# Print model summary
print(model.summary())
# Plot model
plot_model(model, to_file='model.png')
# Show plot
plt.show()
Helpful links
More of Python Keras
- How do I use Python Keras to zip a file?
- How can I use XGBoost, Python and Keras together to build a machine learning model?
- How can I resolve the issue of Python module Tensorflow.keras not being found?
- How do I install Keras on Windows using Python?
- How do I use a webcam with Python and Keras?
- 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's tf.keras.utils.get_file to retrieve a file?
- How do I uninstall Keras from my Python environment?
- How can I install the python module tensorflow.keras in R?
See more codes...