adamkusey

## securitai-lstm-model.py
model = Sequential()
model.add(Embedding(num_words, 32, input_length=max_log_length))
# Prevent overfitting using dropout method of regularization
model.add(Dropout(0.5))
model.add(LSTM(64, recurrent_dropout=0.5))
model.add(Dropout(0.5))
# Condense to single binary output value
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
# Training set automatically split 75/25 to check validation loss/accuracy at each epoch

## keybase.md

      
        
          
            
              
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                adamkusey
                / keybase.md
            
            
              Created
              September 9, 2019 17:43
            
          
        
      
        
  
      
    Keybase proof

I hereby claim:

I am adamkusey on github.
I am adak (https://keybase.io/adak) on keybase.
I have a public key ASAUZ0VdBbrGfZEYozec-UByuI_dH4WA2bvZp2GqiGesSAo

To claim this, I am signing this object:
	model = Sequential()
	model.add(Embedding(num_words, 32, input_length=max_log_length))
	# Prevent overfitting using dropout method of regularization
	model.add(Dropout(0.5))
	model.add(LSTM(64, recurrent_dropout=0.5))
	model.add(Dropout(0.5))
	# Condense to single binary output value
	model.add(Dense(1, activation='sigmoid'))
	model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
	# Training set automatically split 75/25 to check validation loss/accuracy at each epoch