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.
When we are reading a text file using python, you may find this UnicodeDecodeError: UnicodeDecodeError: ‘gbk’ codec can’t decode byte 0xa2 in position 5871: illegal multibyte sequence, which can make you fail to read a file. In this tutorial, we will tell you how to fix this error.
When we are using latex to write paper, we may reference many tables. In this tutorial, we will introduce how to reference tables in latex and avoid to change the table serial number manually.
WordPress tinymce editor has not added table button on toolbar, which make it is hard to insert table when writing. In this tutorial, we will introduce you how to add a table button to create tables when writing withou downloading any wordpress plugins.
AMP (Accelerated Mobile Pages) is an open source project to accelerate mobile pages. It is very useful to sites, the main traffic of which is from mobile device. In this tutorial, we will introduce some basic features of wordpress amp.
TensorFlow tf.nn.dynamic_rnn() is often used to create lstm or rnn network in deep learning, in this tutorial, we will discuss this function for tensorflow beginners.