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Yes, you can use a convolutional network in an autoencoder setup. There is nothing strange with it. People have problems figuring out deconvolution layersdeconvolution layers, though.

Here you can find an example of a convolutional autoencoder using Keras framework: https://blog.keras.io/building-autoencoders-in-keras.html

Yes, you can use a convolutional network in an autoencoder setup. There is nothing strange with it. People have problems figuring out deconvolution layers, though.

Here you can find an example of a convolutional autoencoder using Keras framework: https://blog.keras.io/building-autoencoders-in-keras.html

Yes, you can use a convolutional network in an autoencoder setup. There is nothing strange with it. People have problems figuring out deconvolution layers, though.

Here you can find an example of a convolutional autoencoder using Keras framework: https://blog.keras.io/building-autoencoders-in-keras.html

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noe
noe
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Yes, you can use a convolutional network in an autoencoder setup. There is nothing strange with it. People have problems figuring out deconvolution layers, though.

Here you can find an example of a convolutional autoencoder using Keras framework: https://blog.keras.io/building-autoencoders-in-keras.html