显示张量的具体值
a = tf. random.normal ([4,4],mean=0.1,stddev=1)
with tf.Session() as sess:
print(sess.run(a))
显示变量的具体值:
user_embeddings = tf.nn.embedding_lookup(user_emb_matrix, user_indices) init = tf.global_variables_initializer() #这三行是重点 session = tf.Session() session.run(init) print(session.run(user_embeddings))
参考博客:
TensorFlow基础篇_修炼之路的博客-CSDN博客



