What are some examples of transfer learning in Python?

What are some examples of transfer learning in Python?

Transfer learning involves taking a pre-trained model and fine-tuning it for a specific task. For example, using a model like VGG16 for image classification.

Can you show me a code snippet for using VGG16 in Python?

Sure! Here's a simple example using Keras:

from keras.applications import VGG16
from keras.models import Model

# Load VGG16 model + higher level layers
base_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))

# Add custom layers on top
x = base_model.output
x = Flatten()(x)
x = Dense(256, activation='relu')(x)
x = Dense(1, activation='sigmoid')(x)

model = Model(inputs=base_model.input, outputs=x)

What datasets can I use for fine-tuning?

You can use datasets like CIFAR-10, ImageNet, or even your own custom dataset. Just ensure they are labeled correctly.

How do I evaluate the model after fine-tuning?

You can evaluate the model using the model.evaluate() method in Keras, providing your test dataset.