gistfile1.txt

def build_model():
    model = Sequential()
    model.add(Conv2D(32, kernel_size=(8,8),strides=(4, 4), padding='same',
                     activation='relu', input_shape=(img_rows,img_cols,img_channels), 
                     kernel_initializer=initializers.glorot_normal(seed=31))) 
    model.add(Conv2D(64,kernel_size=(4,4),strides=(2,2),padding='same',activation='relu', 
                     kernel_initializer=initializers.glorot_normal(seed=31)))
    model.add(Conv2D(64,kernel_size=(3,3),strides=(1,1),padding='same',activation='relu', 
                     kernel_initializer=initializers.glorot_normal(seed=31)))
    model.add(Flatten())
    model.add(Dense(512, activation='relu', 
                     kernel_initializer=initializers.glorot_normal(seed=31)))
    model.add(Dense(ACTIONS, 
                     kernel_initializer=initializers.glorot_normal(seed=31)))
    
    adam = Adam(lr=LEARNING_RATE,clipvalue=1.0)
    model.compile(loss='mse',optimizer=adam)
    return model