2020-06-04-tensorlfow2-layers.Em

以layers.Embedding(1000, 64, input_length=10) 为例
将输入的shape为（None, input_length) 值为映射到id（0-999）的数据，转换为(None, 10, 64)的embedding数据。

import tensorflow as tf
from  tensorflow.keras import layers

model = tf.keras.Sequential()

model.add(layers.Embedding(1000, 64, input_length=10))

# the model will take as input an integer matrix of size (batch,

# input_length).

# the largest integer (i.e. word index) in the input should be no larger

# than 999 (vocabulary size).

# now model.output_shape == (None, 10, 64), where None is the batch

# dimension.