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.stack() function can pack a list of tensors to a new tensor, which is very useful if you plan bind some tensors. In this tutorial, we will introduce you how to use this function with some examples.

When inserting a tensor into a TensorArray, Tried to write to index 28 but array is not resizeable and size is: 28 error occured. In this tutorial, we will introduce you how to fix this problem.

We often use tf.nn.embedding_lookup() to pick up elements in a tensor by ids. However, it may encounter InvalidArgumentError: indices is not error when using this function. In this tutorial, we will introduce how to fix this error.

TensorFlow tf.norm() function is often used to calculate the norm of vector and matrix. However, this function is not a good way to compute the norm of matrix. In this tutorial, we will use some examples to show you this truth.

Matrix Norm usually contain L1, L2 and L infinity Norm. In this tutorial, we will calculate the L1, L2 and L infinity Norm of a matrix using tensorflow.

In order to repeat data to expand a tensor, we can use tf.tile() function. In this tutorial, we will use some examples to show you how to this function correctly.

If you need to shield some elements in a tensor, tf.boolean_mask() may be a good choice. In this tutorial, we will use some examples to show you how to use it correctly.