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.

TensorFlow tf.fill() function allows us to create a tensor with a scalar value filled. In this tutorial, we will introduce how to use it in tensorflow application.

We have learned how to create a random orthogonal matrix by scipy in python. In this tutorial, we will introduce how to creat a random orthogonal matrix using tensorflow.

TensorFlow tf.add_n() and tf.reduce_sum() can add tensors. However, there are some differences between them. In this tutorial, we will discuss this topic.

TensorFlow can allow us to multiply tensors. We can use * or tf.multiply(). We also can multiply tensors of different shapes in tensorflow. We will discuss this topic in this tutorial.

TensorFlow tf.add_n() function can allow us to add a list of tensors. In this tutorial, we will introduce how to use this function using some examples.

Accuracy and F1 measure are two important metrics to evaluate the performance of deep learning model. In this tutorial, we will introduce how to calculate F1-Measure with masking in tensorflow.