In this tutorial, we introduce a way to read a tensor value by its name, the main key is to use graph.get_tensor_by_name() function. You can read other tensor values from exist model by this tutorial.
In this tutorial, we discusss how to submit a post url to bing webmaster tool automatically when you publish a wordpress post, you can implement this function in your wordpress site and increase your website craw rate of search engine.
In this tutorial, we write an example to show how to list constant and placehoder variable in tensorflow, this exmaple is very useful if you want to read variables from an exist model. You can learn to list them by following our tutorial
Robots.txt can disallow and allow search engine to fetch some web pages, however, robots.txt file not be added in wordpress system defaultly.In this tutorial, we will introduce how to create this file with Yoast SEO Plugin online.
In this tutorial, we discuss how to list all trainable and untrainable variables in tensorflow, which is very useful to analysis deep learning model, you can learn how to operate these variables by following our tutorial.
In this tutorial, we introduce how to create a random constant tensor in tensorflow, you can not use a random tensor to create a constant tensor, you can learn how to create a random constant correctly by follow this tutorial.
In this tutorial, we introduce some basic knownledge of LSTM including LSTM three gates and structure, you can learn how lstm works and try to create a lstm by this tutorial.
tf.split() function can split a tensor to some sub tensors in tensorflow. In this tutorial, we will write an example to illustrate how to use this function. You can learn how to split a tensor by this tutorial.
In this tutorial, we discuss the question: can apply a dropout layer to a softmax layer in neural networks, You can learn how to use dropout layer to void overfitting in deep learning correctly by following our tutorial.
In this tutorial, we write an example to illustrate the difference between tf.multiply() and tf.matmul() functions in tensorflow, you can learn how to use them correctly by following our tutorial.