In my project (fashion-mnist-png-test-01), I have all 60k training images from Fashion-MNIST uploaded as PNG files. I used Image feature extraction (all defaults).
For the classifier, I used a NN (Keras) block with default architecture (2D Conv (32, 3x3), 2D Conv (16, 3x3), Flatten, Dropout (0.25). This trains with no issues on Edge Impulse.
However, if I download the iPython notebook and try to run it in Colab, I get the following error when trying to run
ValueError: Input 0 of layer sequential is incompatible with the layer: : expected min_ndim=4, found ndim=2. Full shape received: (32, 784)
Is there a Python or Keras version mismatch between Egde Impulse and Colab or some other way to correct this error?