R Deep Learning Cookbook

Setting up a VAE model

1. Start a new TensorFlow environment:

tf$reset_default_graph()sess<-tf$InteractiveSession()

2. Define network parameters:

n_input=256n.hidden.enc.1<-64

3. Start a new TensorFlow environment:

tf$reset_default_graph()sess<-tf$InteractiveSession()

4. Define network parameters:

n_input=256n.hidden.enc.1<-64

The preceding parameter will form a VAE network as follows:

5. 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 ############################ ...