TensorFlow-Slim image classification library TF-slim is a new lightweight high-level API of TensorFlow (tensorflow.contrib.slim) for defining, training and evaluating complex models. This directory contains code for training and evaluating several w
本文实例为大家分享了基于Tensorflow的MNIST手写数字识别分类的具体实现代码，供大家参考，具体内容如下
代码如下：
import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
from tensorflow.contrib.tensorboard.plugins import projector
import time
IMAGE_PIXEL
Densenet-Tensorflow
的Tensorflow实施使用Cifar10，MNIST
实现本文的代码是Densenet.py
略有不同，我使用了AdamOptimizer
如果您想查看原始作者的代码或其他实现，请参考此
要求
Tensorflow 1.x
Python 3.x
tflearn（如果您易于使用全局平均池，则应安装tflearn
However, I implemented it using tf.layers, so don ' t worry
问题
我用了
