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RSS订阅原创 tensorflow入门Day4-CNN
# -*- coding: utf-8 -*-from tensorflow.examples.tutorials.mnist import input_dataimport tensorflow as tf mnist = input_data.read_data_sets('MNIST_data/',one_hot=True)x = tf.placeholder("float",
2017-03-18 20:08:59
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原创 tensorflow入门Day3-TensorBoard
#-*- coding: utf-8 -*-import tensorflow as tf#TB是tensorflow自带的一个强大的可视化工具tf.set_random_seed(1234)'''Step 1: Name variables and make use of scopes for organizing your graphStep 2: Place summari
2017-03-18 20:01:49
281
原创 tensorflow入门Day3-MNIST
# -*- coding: utf-8 -*-from tensorflow.examples.tutorials.mnist import input_dataimport tensorflow as tf mnist = input_data.read_data_sets('MNIST_data/',one_hot=True)W = tf.Variable(tf.zeros([78
2017-03-17 19:54:56
247
原创 tensorflow入门Day2-K-means实现详解
1、K-means实现详解# -*- coding: utf-8 -*-#上面一行声明用于中文注释识别，有中文注释必加import numpy as npimport matplotlib.pyplot as pltimport pandas as pd import seaborn as snsimport tensorflow as tf#pandas&seaborn都是基
2017-03-17 16:19:20
832
原创 tensorflow入门Day1-简单线性回归
看了某个教程写的代码：import numpy as np import matplotlib.pyplot as plt import tensorflow as tf num_puntos = 1000conjunto_puntos = []for i in xrange (num_puntos): x1 = np.random.normal(0.0,0.55) y1 =
2017-03-17 16:10:21
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原创 2017-2-20-DL碎碎念一
至于为什么突然会有写博客的冲动，是因为在网上看到了这个人写的caffe学习记录，感觉很有意思，觉得自己也应该把我每天学的东西记录下来！ 好了~开始我的博客之旅啦~~
2017-02-20 14:51:43
339
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