Phan Đức Việt paduvi

## FlatCnnLayer.py
import torch
import torch.nn as nn
import torch.nn.init as init

dropout_prob = 0.5


class FlatCnnLayer(nn.Module):
    def __init__(self, embedding_size, sequence_length, filter_sizes=[3, 4, 5], out_channels=128):
        super(FlatCnnLayer, self).__init__()

## TodoMVC React.carbide.md

      
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                paduvi
                /  TodoMVC React.carbide.md
            
            
              Created
              August 25, 2016 22:40
                — forked from bijection/ TodoMVC React.carbide.md
            
              
                TodoMVC React
              
          
    TodoMVC React
	import torch
	import torch.nn as nn
	import torch.nn.init as init

	dropout_prob = 0.5


	class FlatCnnLayer(nn.Module):
	def __init__(self, embedding_size, sequence_length, filter_sizes=[3, 4, 5], out_channels=128):
	super(FlatCnnLayer, self).__init__()