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.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.
MNIST dataset is a handwritten digits images and common used in tensorflow applications. In this tutorial, we will discuss this dataset for tensorflow beginners in order to help them to use it correctly.
TensorFlow tf.variable_scope() can create a context manager to manage tensorflow variables in it. We can use it to share variables or create some same name variables. In this tutorial, we will illustrate you how to use it correctly.
TensorFlow tf.variable_scope() reuse mode is controled by its reuse parameter. In this tutorial, we will discuss how to control reuse model by this reuse parameter for tensorflow beginners.
tf.get_variable() is often used to get or create a tensorflow variable, in this tutorial, we will discuss how to use it correctly for tensorflow beginners.
tf.Variable() is often used to create a tensorflow variable (tensor) in tensorflow application. In this tutorial, we will discuss how to use it correctly for tensorflow beginners.
We can use anaconda to install tensorflow, However, anaconda may install tensorflow 1.2.1 version defautly, if you want to update or install tensorflow to a specific version, how to do? In this tutorial, we will introduce you how to do with anaconda.
When you are running tensorflow application, you may find this attribute error: AttributeError: module ‘tensorflow’ has no attribute ‘AUTO_REUSE’. In this tutorial, we will tell you how to fix this error.
Gaussian blur algorithm is common used in image processing filed. In this tutorial, we will introduce how to use this algorithm to blur an image for beginners.
Singular Value Decomposition (SVD) expresses any matrix can be decomposed into the product of three matrices. In this tutorial, we will discuss some basic features of svd for deep learning beginners.