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R Deep Learning Cookbook by Achyutuni Sri Krishna Rao, Dr. PKS Prakash

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Setting up a VAE model

  1. Start a new TensorFlow environment:
tf$reset_default_graph()sess<-tf$InteractiveSession()
  1. Define network parameters:
n_input=256n.hidden.enc.1<-64
  1. Start a new TensorFlow environment:
tf$reset_default_graph()sess<-tf$InteractiveSession()
  1. Define network parameters:
n_input=256n.hidden.enc.1<-64

The preceding parameter will form a VAE network as follows:

  1. Define the model initialization function, defining weights and biases at each layer of encoder and decoder:
model_init<-function(n.hidden.enc.1, n.hidden.enc.2,                                n.hidden.dec.1,  n.hidden.dec.2,                                n_input, n_h){ weights<-NULL ############################ ...

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