07. Convolutions in Keras

Convolutions

  1. Build from the previous network.
  2. Add a convolutional layer with 32 filters, a 3x3 kernel, and valid padding before the flatten layer.
  3. Add a ReLU activation after the convolutional layer.
  4. Train for 3 epochs again, should be able to get over 50% accuracy.

Hint: The Keras example of a convolutional neural network for MNIST would be a good example to review.

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