Predictive Analytics with TensorFlow: Implement deep learning principles to predict valuable insights using TensorFlow by Md. Rezaul Karim

Author:Md. Rezaul Karim [Karim, Md. Rezaul]
Language: eng
Format: epub
Publisher: Packt Publishing
Published: 2017-11-02T00:00:00+00:00

Figure 6: SAE and DBN using AE and RBM, respectively

First, in unsupervised pretraining (figure 6), the layers are stacked sequentially and trained, in a layer-wise manner as an AE or RBM using unlabeled data. Afterward, in supervised fine-tuning, an output classifier layer is stacked, and the whole neural network is optimized by retraining with labeled data.

Note

For a brief cheat sheet on the different neural network architecture and their related publications, refer to the website of Asimov Institute at http://www.asimovinstitute.org/neural-network-zoo/.

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