TensorFlow is an open source platform for machine learning from Google. It can make us to build some AI applications easily. It is a popular deep learning platform in word.
In this page, we write some tutorials and examples on how to use tensorflow, you can build some AI applications by following our tutorials and examples.
In this tutorial, we introduce how to use tf.reduce_mean() function in tensorflow correctly, the key is to set correct axis. You can learn how to use this function in you applications by following our tutorial.
In this tutorial, we write an example how to implement attention visualization using python, which is very useful to compare different attention methods in models, you can learn how to do by following our tutorial.
In this tutorial, we introduce how to install tensorflow on windows system with detailed steps. The main steps contain install python 3.5 and tensorflow. You can follow these steps to do.
In this tutorial, we introduce some basic knowlege on Jensen-Shannon Divergence, which is improvement of Kullback-Leibler Divergence, you can learn how to calculate it by this tutorial.
In this tutorial, we discuss how to set and parse the arguments in tensorflow application, the key is to use tf.app.flags, you can learn how to pass arguments in tensorflow application with this tutorial.
In this tutorial, we introduce how to save python print message into a file on linux. The key way is to use script command in terminal. You can learn how to do by following our tutorial.
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 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
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.