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.

There are many models that have improved LSTM, GRU (Gated Recurrent Unit) is one of them. In this tutorial, we will introduce GRU and compare it with LSTM.

As to GRU, there is a reset gate in it. Can we remove this reset gate in GRU? If we remove it, the performance of GRU will decreased? The answer is we can remove the reset gate.

In this tutorial, we compare the tf.reverse() and tf.reverse_sequence() then use an example to show tensorflow beginners how to use tf.reverse_sequence().

Bias is often used in neural network, why we need to use it? In this tutorial, we will introduce the effect of bias and explain the reason we should use it in neural network.

Matrix norm is one of important algorithm in deep learning, in this tutorial, we will introduce some basic features of matrix norm then tell you how to calculate it.

TensorFlow tf.reverse() function allows us to reverse a tensor based on aixs. In this tutorial, we will use some examples to illustrate you how to use this function correctly.

When you are using tensorflow tf.reverse() function, you may find this error: ValueError: Shape must be rank 1 but is rank 0. In this tutorial, we will tell you how to fix this error.

We have created a customized lstm model (lstm.py) using tensorflow. In this tutorial, we will use this customized lstm model to train mnist set and classify handwritten digits.

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