January 2019
Intermediate to advanced
294 pages
6h 43m
English
In this chapter, we studied deep neural networks and why we need a deep learning model. We also learned about forward and backward prorogation, along with parameters and hyperparameters. We also talked about GANs, along with deep Gaussian processes, the Capsule Network, and CNNs.
In the next chapter, we will study causal inference.
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