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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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This was an interesting chapter, and I hope you enjoyed reading it as much as I enjoyed writing it. A lot is happening in the generative AI space, and in this chapter, we could only scratch the surface. This chapter introduced generative models and their classification, namely implicit generative models and explicit generative models. The first generative model that was covered is VAEs; they’re an explicit generative model and try to estimate the lower bound on the density function. The VAEs were implemented in Keras and were used for anomaly detection.
This chapter then moved on to a more popular explicit generative model: GANs. The GAN architecture, especially how the discriminator network and generative network compete with each other, was explained. Multiple variations of GANs and their special features were covered. We implemented a conditional GAN using Keras for generating handwritten digits. Lastly, we delved into KerasNLP and explored pre-trained language...