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.tensordot() is a powerful function to multiply tensors. It allows us to multiply different rank tensors. In this tutorial, we will use some examples to show you how to use this function.

Can we get values of a tensor by indices in tensorflow? It means can we operate tensorflow tensor like python list. In this tutorial, we will discuss this topic.

Pearson Correlation Coefficient can measure the strength of the relationship between two variables. We can use it as a loss to measure the correlation between two distributions in deep learning model. In this tutorial, we will create this loss function using tensorflow.

TensorFlow tf.expand_dims() allows us to add a dimension of 1 for a tensor. In this tutorial, we will use some examples to show you how to use this function.

Convolution networks have been used in text classification widely. For example: LSTM+CNN or CNN+LSTM. In this tutorial, we will introduce how to implement a cnn to text classification using tensorflow.

When we are multiplying two matrices with different ranks, we may get this error: ValueError: Shape must be rank 2 but is rank 3. In this tutorial, we will introduce how to multiply two matrices with different ranks in tensorflow.

In this tutorial, we will use tensorflow to implement squashing function in capsule network, you can use this example code to squash the value of a tensor.