How can I visualize my TensorFlow Keras model?

How can I visualize my TensorFlow Keras model?

You can use the plot_model function from Keras to visualize your model architecture. Would you like a code example?

Yes, please provide a code example.

Sure! Here's a simple example:

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.utils import plot_model

model = Sequential()
model.add(Dense(64, activation='relu', input_shape=(32,)))
model.add(Dense(10, activation='softmax'))

plot_model(model, to_file='model.png', show_shapes=True)

This will save a visualization of your model as 'model.png'. Would you like to know more about customizing the plot?

What options do I have for customizing the plot?

You can customize the plot by using parameters like show_shapes, show_layer_names, and rankdir. For example:

plot_model(model, to_file='model.png', show_shapes=True, show_layer_names=True, rankdir='TB')

This will display the shapes of the layers and their names. Let me know if you need further assistance!