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inMorvanZhou/Tensorflow-Tutorial (press backspace or delete to remove)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
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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