WordPress tinymce editor has not added table button on toolbar, which make it is hard to insert table when writing. In this tutorial, we will introduce you how to add a table button to create tables when writing withou downloading any wordpress plugins.
AMP (Accelerated Mobile Pages) is an open source project to accelerate mobile pages. It is very useful to sites, the main traffic of which is from mobile device. In this tutorial, we will introduce some basic features of wordpress amp.
TensorFlow tf.nn.dynamic_rnn() is often used to create lstm or rnn network in deep learning, in this tutorial, we will discuss this function for tensorflow beginners.
MNIST dataset is a handwritten digits images and common used in tensorflow applications. In this tutorial, we will discuss this dataset for tensorflow beginners in order to help them to use it correctly.
TensorFlow tf.variable_scope() can create a context manager to manage tensorflow variables in it. We can use it to share variables or create some same name variables. In this tutorial, we will illustrate you how to use it correctly.
TensorFlow tf.variable_scope() reuse mode is controled by its reuse parameter. In this tutorial, we will discuss how to control reuse model by this reuse parameter for tensorflow beginners.
tf.get_variable() is often used to get or create a tensorflow variable, in this tutorial, we will discuss how to use it correctly for tensorflow beginners.
We have updated python 3.5 to python 3.6, when installing python packages, we will find: pip install ERROR: Error checking for conflicts. In this tutorial, we will tell you how to fix this problem to make you can install a python library using pip.
After having updated python 3.5 to python 3.6 with aconda, we find this error: if you use pip install command to install python packeages, you may get error: ERROR: Error checking for conflicts. In this tutorial, we will discuss how to fix this error.
tf.Variable() is often used to create a tensorflow variable (tensor) in tensorflow application. In this tutorial, we will discuss how to use it correctly for tensorflow beginners.