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 write an example to convert a tensor to numpy array with tensor.eval() function in tensorflow. You can follow our example code to learn how to do.

tf.nn.top_k can help us to sort elements in tensor from largest to smallest. In this tutorial, we update example code in previous tutorial and add code for sorting a tensor from smallest to largest. You can practise by following our example code.

TensorFlow function tf.nn.top_k can help us to sort elements in tensor. In this page, we write an example on how to sort a tensor from largest to smallest. You can add more functionalities by editing our example.

In this tutorial, we write an example for computing SVD value with TensorFlow. You can exercise this example by update our example code. Meanwhile, you should know the dfference with computing SVD in Numpy.

In this tutorial, we write a numpy example to caculate Singular Value Decomposition (SVD) of any matrix, you can learn and apply our example in your application by following our code.

In this tutorial, we introduce some eye-tracking corpus (GECO, Mishra Corpus, Dundee and Provo Corpus, et al. ), these corpus is often used in nlp research. You can select and download the best one for your need.

In this tutorial, we introduce Ridge Regression to beginners. Ridge Regression is a common algorithm in machine learning and deep learning. Readers can understand how and why we use it by following this tutorial.