convolution layer example fix
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fd4c180f93
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6389f0142a
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@ -226,21 +226,31 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 1,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"conv = keras.layers.Conv2D(filters=32, kernel_size=3, strides=1,\n",
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"conv = keras.layers.Conv2D(filters=32, kernel_size=3, strides=1,\n",
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" padding=\"SAME\", activation=\"relu\")"
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" padding=\"SAME\", activation=\"relu\", input_shape=outputs.shape)"
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]
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]
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 2,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"plot_image(crop(outputs[0, :, :, 0]))\n",
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"conv_outputs = conv(outputs)\n",
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"conv_outputs.shape "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"plot_image(conv_outputs[0, :, :, 0])\n",
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"plt.show()"
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"plt.show()"
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]
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]
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},
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},
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@ -1368,7 +1378,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.7.10"
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"version": "3.8.10"
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},
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},
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"nav_menu": {},
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"nav_menu": {},
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"toc": {
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"toc": {
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