minimum details to create a complete layer.  Shape of the input data  Number of neurons / units in the layer  Initializers  Regularizers  Constraints  Activations Let us understand the model. Dense is an entry level layer provided by Keras, which accepts the number of neurons or units (32) as its required parameter. If the layer is first layer, then we need to provide Input Shape the next layer. All other parameters are optional.  First parameter represents the number of units (neurons).  input_shape represent the shape of input data.  kernel_initializer represent initializer

'khaki') AND (i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' OR OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_size = 'petite' OR i_size Chapter 6. High Availability Kyuubi, Release 1.3.0 (continued from previous page) (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact = i1.i_manufact

'khaki') AND (i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' OR OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_size = 'petite' OR i_size Chapter 6. High Availability Kyuubi, Release 1.3.0 (continued from previous page) (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact = i1.i_manufact

(i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' 'Bunch' OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_category = 'Men' AND (i_color = 'light' OR i_color = 'cornflower') AND (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact

(i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' 'Bunch' OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_category = 'Men' AND (i_color = 'light' OR i_color = 'cornflower') AND (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact

基于 PYTHON 的深度学习库 2 from keras.layers import Dense model.add(Dense(units=64, activation='relu', input_dim=100)) model.add(Dense(units=10, activation='softmax')) 在完成了模型的构建后, 可以使用 .compile() 来配置学习过程： model get_output_shape_at(node_index) 关于 KERAS 网络层 59 5.2 核心网络层 5.2.1 Dense [source] keras.layers.Dense(units, activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', 现在模型就会以尺寸为 (*, 16) 的数组作为输入， # 其输出数组的尺寸为 (*, 32) # 在第一层之后，你就不再需要指定输入的尺寸了： model.add(Dense(32)) 参数 • units: 正整数，输出空间维度。 • activation: 激活函数 (详见 activations)。若不指定，则不使用激活函数 (即，“线性” 激活: a(x) = x)。 • use_bias:

'khaki') AND (i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' OR OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_size = 'petite' OR i_size High Availability Kyuubi, Release 1.4.1-incubating (continued from previous page) (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact = i1.i_manufact

'khaki') AND (i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' OR OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_size = 'petite' OR i_size Chapter 6. High Availability Kyuubi, Release 1.3.0 (continued from previous page) (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact = i1.i_manufact

'khaki') AND (i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' OR OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_size = 'petite' OR i_size previous page) (i_category = 'Men' AND (i_color = 'light' OR i_color = 'cornflower') AND (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact = i1.i_manufact

(i_units = 'Ounce' OR i_units = 'Oz') AND (i_size = 'medium' OR i_size = 'extra large') ) OR (i_category = 'Women' AND (i_color = 'brown' OR i_color = 'honeydew') AND (i_units = 'Bunch' 'Bunch' OR i_units = 'Ton') AND (i_size = 'N/A' OR i_size = 'small') ) OR (i_category = 'Men' AND (i_color = 'floral' OR i_color = 'deep') AND (i_units = 'N/A' OR i_units = 'Dozen') AND (i_category = 'Men' AND (i_color = 'light' OR i_color = 'cornflower') AND (i_units = 'Box' OR i_units = 'Pound') AND (i_size = 'medium' OR i_size = 'extra large') ))) OR (i_manufact