Summary

In this chapter, we covered how to train deep learning algorithms that can generate artistic style transfers using generative networks, new images using GAN and DCGAN, and generate text using LSTM networks.

In the next chapter, we will cover some of the modern architectures, such as ResNet and Inception, for building better computer vision models and models such as sequence-to-sequence, which can be used for building language translation and image captioning.

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