How to get pool_3 layer from inception using Keras about deep-learning-models HOT 5 OPEN

I got this code to work

    model = InceptionV3(weights='imagenet', include_top=False)

    img = image.load_img(img_path, target_size=(224, 224))
    x = image.img_to_array(img)
    x = np.expand_dims(x, axis=0)
    x = preprocess_input(x)

    features = model.predict(x)

Is it getting pool_3 layer or some other layer. dimensions seems to match.

from deep-learning-models.

model.summary() will print all the layers (along with the dimensions and parameters).

from deep-learning-models.

@prashanthdumpuri Is there a way to look at specific layers from the summary? Inception has over 300 layers. Say I want to look at 35-50, is there a way to do this?

from deep-learning-models.

from deep-learning-models.

@prashanthdumpuri Thank you very much.

from deep-learning-models.