類別嵌入

使用 Keras 的進階深度學習

Zach Deane Mayer

Data Scientist

類別嵌入

輸入：整數
輸出：浮點數
注意：維度提升；輸出層會攤平成 2D

輸入

input_tensor = Input(shape=(1,))

Embedding 層

from tensorflow.keras.layers import Embedding
input_tensor = Input(shape=(1,))
n_teams = 10887
embed_layer = Embedding(input_dim=n_teams,
                        input_length=1,
                        output_dim=1,
                        name='Team-Strength-Lookup')
embed_tensor = embed_layer(input_tensor)

攤平成一維

from tensorflow.keras.layers import Flatten
flatten_tensor = Flatten()(embed_tensor)

整合完成

input_tensor = Input(shape=(1,))
n_teams =  10887
embed_layer = Embedding(input_dim=n_teams,
                        input_length=1,
                        output_dim=1,
                        name='Team-Strength-Lookup')
embed_tensor = embed_layer(input_tensor)
flatten_tensor = Flatten()(embed_tensor)
model = Model(input_tensor, flatten_tensor)

一起來練習吧！

使用 Keras 的進階深度學習