How do I apply transfer learning with InceptionV3 in Keras to improve a cat classification model

Question

can you tell me How do I apply transfer learning with InceptionV3 in Keras to improve a cat classification model?

Answer 1

Use tf.keras.applications.InceptionV3 as a feature extractor with fine-tuning to improve cat classification.

Here is the code snippet you can refer to:

In the above code, we are using the following approaches:

• Pre-trained InceptionV3: Leverages pre-learned ImageNet features.
• Feature Extraction: Uses frozen base layers to prevent overfitting.
• Fine-Tuning: Unfreezes top layers for domain-specific improvements.
• Global Average Pooling: Reduces dimensionality for better generalization.

Hence, transfer learning with InceptionV3 significantly enhances cat classification by utilizing pre-trained ImageNet features and fine-tuning for domain adaptation.