Visualize filters from: https://jgeekstudies.org/2017/03/12/who-is-that-neural-network/.

pokemon_filters.py

kernels = model.layers[0].get_weights()[0].T

(rows, cols) = (8, 4)
plt.figure(figsize = (16, 24))
gs = gridspec.GridSpec(rows, cols, wspace = 0.1, hspace = 0.1)

for i in range(kernels.shape[0]):
    row = i // cols
    col = i % cols
    ax = plt.subplot(gs[row, col])
    plt.axis("off")
    plt.imshow(kernels[i].T)

plt.show()