1. Learn
    2. /
  2. Courses
    3. /
  3. Image Processing with Keras in Python

Exercise

Extracting a kernel from a trained network

One way to interpret models is to examine the properties of the kernels in the convolutional layers. In this exercise, you will extract one of the kernels from a convolutional neural network with weights that you saved in a hdf5 file.

Instructions

100 XP
  • Load the weights into the model from the file weights.hdf5.
  • Get the first convolutional layer in the model from the layers attribute.
  • Use the .get_weights() method to extract the weights from this layer.