We began this chapter with a short introduction to autoencoders, and we implemented the encoder and decoder function with the help of ConvNets.
We then moved to convolutional autoencoders and learned how they are different from regular ConvNets and neural nets.
We walked through the different applications of autoencoders, with an example, and saw how an autoencoder enhances the efficiency of image searches in low-dimension spaces.
In the next chapter, we will study object detection with CNNs and learn the difference between object detection and object classification.
