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why the title is always 0? for tf v 1.14, 404_AutoEncoder.py line 33 plt.title( %i % np.argmax(mnist.train.labels[0])) np.argmax is redundant.
  • el-psy
  • Opened 
    on Feb 29, 2020
  • #26

import tensorflow as tf import matplotlib.pyplot as plt import numpy as np tf.set_random_seed(1) np.random.seed(1) n_data = np.ones((100, 2)) x0 = np.random.normal(2*n_data, 1) # class0 x shape=(100, ...
  • wantaoliu
  • Opened 
    on Feb 14, 2020
  • #25

The correct one: with tf.variable_scope(scope) as scope: w = tf.get_variable( weights , [x.shape[1], out_dim], initializer=tf.random_normal_initializer()) b = tf.get_variable( biases ...
  • feng-1985
  • Opened 
    on Mar 19, 2019
  • #24

Hi Morvan, I am trying to implement your Batch Normalization tutorial on your DDPG algorithme tutorial, but i have a hard time understanding the bits? one of my problems is: ` self.a_loss = - ...
  • ghost
  • Opened 
    on Mar 7, 2019
  • #23

Dear, There is a question of the script, Could it be a little hard,if the function is y=ax^2 +bx +c ? Any idea to change the code? Thx
  • ucasiggcas
  • Opened 
    on Feb 20, 2019
  • #22

Dear, When run the script, Error ups, WARNING:tensorflow:From D:\python\LogisticRegression-master\403_RNN_regression.py:32: BasicRNNCell.init (from tensorflow.python.ops.rnn_cell_impl) is deprecated and ...
  • ucasiggcas
  • 4
  • Opened 
    on Feb 1, 2019
  • #21

请问一下您readme中动图是怎么画的呢
  • Elroborn
  • 2
  • Opened 
    on Jan 3, 2019
  • #20

InvalidArgumentError Traceback (most recent call last) D:\ProgramData\envs\tensorflow1\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 1291 try: - 1292 return fn(*args) ...
  • wangzhanxd
  • Opened 
    on Nov 2, 2018
  • #19

I get high accuracy score on this way : isCorrect = tf.equal(tf.argmax(predict_Y, 1), tf.argmax(Y_holder, 1)) accuracy = tf.reduce_mean(tf.cast(isCorrect, tf.float32)) your code: accuracy = tf.metrics.accuracy( ...
  • leikunx
  • 1
  • Opened 
    on Sep 29, 2018
  • #16

D_loss = -tf.reduce_mean(tf.log(prob_artist0) + tf.log(1-prob_artist1)) G_loss = tf.reduce_mean(tf.log(1-prob_artist1)) 这个损失函数能将下是什么含义吗
  • xiaoyaosheng
  • 1
  • Opened 
    on Sep 4, 2018
  • #15
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