张量(“args_0:0", shape=(28, 28, 1), dtype=float32) [英] Tensor("args_0:0", shape=(28, 28, 1), dtype=float32)

问题描述

为了学习目的，我试图在 Google Colab 中执行以下代码.我在执行以下代码时收到此消息.

I was trying to execute the code below in Google Colab for learning purposes.I got this message when i executed the following code.

张量("args_0:0", shape=(28, 28, 1), dtype=float32)

Tensor("args_0:0", shape=(28, 28, 1), dtype=float32)

def normalize(images, labels):
  print(images)

  images = tf.cast(images, tf.float32)
  print(images)

  images /= 255
  print(images)


  return images, labels

我正在尝试了解此消息的含义，但我无法理解.尝试在网上搜索，但找不到太多资源.谁能说出这句话的意思?

I am trying to understand what this message means but I am not able ti understand it. Tried searching in web , but couldn't find much resources. Can anyone say what this statements mean?

推荐答案

这个输出意味着你的图像是一个形状为 (28,28,1) 和类型 float32 的张量code> (28,28,1) 中的 1 是 gray-scale 的单个字节，这意味着您有灰度图像(基于您的代码)

This output means that your images are a tensor of shape (28,28,1) and type float32 the 1 in (28,28,1) is a single byte for gray-scale meaning you have gray-scale images (basing on your code)

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