importtensorflowastffromtensorflow.examples.tutorials.mnistimportinput_dataINPUT_NODE=784# 输入节点, 就是图片像素点OUTPUT_NODE=10# 输出节点,类别0-9共10类LAYER1_NODE=500# 隐藏层数,这里使用一个隐藏层网络结构,共有500个节点BATCH_SIZE=100# 每次batch打包的样本个数# 模型相关的参数LEARNING_RATE_BASE=0....
saver.save(sess,save_path='C:/Users/Administrator/Desktop/深度学习500问/logs/mnist_net.ckpt') 结果 手写数字图片7被预测为7 I tensorflow/core/common_runtime/gpu/gpu_device.cc:906] DMA: 0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 0: Y I tensorflow/core/common_runtime/gpu/...
机器学习在用到mnist数据集报错No module named 'tensorflow.examples.tutorials'解决办法 检查一下安装有tensorflow包的目录下的examples这个文件夹。 每个人的文件路径是不同的,我的在...\Python3\Lib\site-packages,该目录下有文件夹tensorflow, tensorflow_core, tensorflow_estimator等文件夹。进入tensorflow文件夹,里...
然后创建训练数据中inputs和labels的placeholder,同时将前面随机参生的valid_examples转为Tensorflow中的constant。接下来,先使用with tf.device(’/cpu:0’)限定所有的计算在CPU上执行,因为接下去的一些计算操作在GPU上可能还没有实现,然后使用tf.random_uniform随机生成所有单词的词向量embeddings单词表大小为50000,向量维...
importtensorflowastfimporttensorflow.contrib.slimasslimimportnumpyasnpfromtensorflow.examples.tutorials.mnistimportinput_data# 通过TensorFlow-Slim来定义LeNet-5的网络结构。deflenet5(inputs):# 将输入转化为四维数组,第一维代表batch大小,另外三维代表图片inputs=tf.reshape(inputs,[-1,28,28,1])# 定义卷积...
在https://www.tensorflow.org/datasets/api_docs/python/tfds/core/DatasetInfo找到了DatasetInfo有转为json的属性 当然直接用啊! 转为json之后,写到文件里,整体代码如下 代码语言:javascript 代码运行次数:0 运行 AI代码解释 >>> mnist = tfds.image.MNIST() >>> mnist.info <tensorflow_datasets.core.dataset...
I tensorflow_serving/model_servers/main.cc:147] Building single TensorFlow model file config: model_name: mnist model_base_path: /home/armando/models/mnist I tensorflow_serving/model_servers/server_core.cc:441] Adding/updating models. I tensorflow_serving/model_servers/server_core.cc:492] (Re-...
from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("MNIST_data/"," one_hot=True) print(len(mnist.train.images)) 55000 print(len(mnist.test.images)) 10000 print(len(mnist.validation.images))
(dot 3)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from tensorflow.examples.tutorials.mnist import input_data >>> mnist = input_data.read_data_sets("/tmp/data/") Traceback (most recent call last): File "/Library/Frameworks/Python.framework...
Official Website:http://yann.lecun.com/exdb/mnist/. Installation To download all the examples, simply clone this repository: git clone https://github.com/aymericdamien/TensorFlow-Examples To run them, you also need the latest version of TensorFlow. To install it: ...