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 add operation is common used in tensorflow application. However, it is hard to understand when it adds different dimensinal tensors. In this tutorial, we will discuss this topic to help you understand it.
Tensorflow tf.split() function can allow us to split a tensor into some sub tensors. In this tutorial, we will discuss some tips on use tf.split(), you can learn how to use this function correctly by our tutorial.
We can set some arguments for our tenorflow application, however, if you do not know how many arguments have been set in python script, the best way is to print all arguemnts in application. In this tutorial, we will discuss how to print these arguments for tensorflow beginners.
L2 regularization is often use to avoid over-fitting problem in deep learning, in this tutorial, we will discuss some basic feature of it for deep learning beginners.
LSTM neural network is widely used in deep learning, tensorflow also provides some lstm classes. However, these classes look like some black boxes for beginners. How to regularize them? In this tutorial, we will discuss how to add l2 regularization for lstm network.
Adding l2 regularization on multi-layer or complex neural networks can avoid over-fitting problem. Is there some easy ways to add l2 regularization in tensorflow? In this tutorial, we will discuss this topic.
Tensor axis and shape are very important when we are computing in tensorflow. What are relationship between them? In this tutorial, we will discuss.
Cosine distance loss is often used to object function to evaluate the similarity of vectors in deep learning model. In this tutorial, we will discuss what is cosine distance loss and how to calculate it in deep learning.
Unit-normalize a tensor is a very important tensorflow tip, which can help us to avoid many nan errors. In this tutorial, we will discuss how to normalize a tensorflow tensor for beginners.
Cosine distance is widely used in deep learning, for example, we can use it to evaluate the similarity of two sentences. In this tutorial, we will introduce how to calculate it using tensorflow, it avoid tensorflow nan error.