Jithin Odattu jithinodattu

## dcgan.py
import torch
import torch.nn as nn
import torch.nn.parallel

class DCGAN_D(nn.Container):
    def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0):
        super(DCGAN_D, self).__init__()
        self.ngpu = ngpu
        assert isize % 16 == 0, "isize has to be a multiple of 16"

## Generative Adversarial Networks toy example.ipynb

      
        
          
            
              
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                santi-pdp
                / Generative Adversarial Networks toy example.ipynb
            
            
              Created
              February 16, 2017 18:36
            
              
                A toy example on Generative Adversarial Networks
              
          
        
      
        
  
    
    

          
    
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	import torch
	import torch.nn as nn
	import torch.nn.parallel

	class DCGAN_D(nn.Container):
	def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0):
	super(DCGAN_D, self).__init__()
	self.ngpu = ngpu
	assert isize % 16 == 0, "isize has to be a multiple of 16"