<frame title="Autoencoder">
        <list>
        <e>Lets look at some of its Hyperparameters</e>
<e>Autoencoder Specific</e>
<l2st>
<e>Compression factor (Latent space size)</e>
<e>Loss function (mse?)</e>
</l2st>
<e>Neural Network architecture</e>
<l2st>
<e>Number of layers</e>
<e>Number of neurons in each layer (Shape of the matrices $A_n$)</e>
</l2st>
<e>Optimisation parameters</e>
<l2st>
<e>Learning Rate</e>
<l3st>
<e>Controls how fast the parameters are found</e>
<e>To high value makes the training unstable</e>
</l3st>
<e>Batch size</e>
<l3st>
<e>Controls how many samples are averaged together.</e>
<e>Lower values make the training more stable, but also the result less optimal</e>
</l3st>
</l2st>
        </list>
        </frame>