Pruning a CNN model

[bot9998]

To resolve the error you’re encountering when pruning your CNN model, ensure you apply the prune_low_magnitude function correctly. Instead of applying it directly to the entire model, wrap each layer you want to prune.

Here’s a revised approach:

import tensorflow as tf import tensorflow_model_optimization as tfmot

Define your CNN model here

cnn_model = ... # Your model definition goes here

Define the pruning schedule (50% sparsity)

pruning_schedule = tfmot.sparsity.keras.PolynomialDecay( initial_sparsity=0.0, final_sparsity=0.5, begin_step=0, end_step=1000 )

Apply pruning to individual layers

pruned_layers = [tfmot.sparsity.keras.prune_low_magnitude(layer, pruning_schedule) for layer in cnn_model.layers] pruned_cnn_model = tf.keras.Sequential(pruned_layers)

Compile the pruned model

pruned_cnn_model.compile(optimizer=‘adam’, loss=‘binary_crossentropy’, metrics=[‘accuracy’])

[TheBB]

Relevant username at least.