# TensorFlow Tutorials and Examples for Beginners 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.

## Understand tf.layers.conv2d() with Examples – TensorFlow Tutorial

To implement 2D convolution operation, we can use tf.layers.conv2d(). In this tutorial, we will use some examples to show you how to use it correctly.

## A Step Guide to Implement Batch Normalization in TensorFlow – TensorFlow Tutorial

Batch normalization is widely used in neural networks. In this tutorial, we will introduce how to use it in tensorflow.

## tf.unique_with_counts(): Count the Number of Each Element in Tensor – TensorFlow Tutorial

In tensorflow, if we want to count the number of each value in a tensor, we can use tf.unique_with_counts() to implement. In this tutorial, we will use some examples to show you how to do.

## Fix Tensor’ object has no attribute ‘assign’ Error in TensorFlow – TensorFlow Tutorial

In this tutorial, we will introduce how to fix Tensor’ object has no attribute ‘assign’ error. You can do by following our steps.

## Implement Normal Distribution Using tf.distributions.Normal() in TensorFlow

Normal Distribution (Gaussian Distribution) is widely used in deep learning model. In this tutorial, we will introduce how to compute it in tensorflow.

## Linear-Chain CRF Layer in TensorFlow: A Beginner Guide

Linear-Chain CRF, which is also called linear-chain conditional random field algorithm, is widely used for Named Entity Recognition (NER). In this tutorial, we will introduce some basic knowlege on it in tensorflow.

## Understand tf.nn.batch_normalization(): Normalize a Layer – TensorFlow Tutorial

TensorFlow tf.nn.batch_normalization() function can normalize a layer in batch. In this tutorial, we will use some examples to show you how to use it.

## How to Use tf.tensordot(): A Completed Guide – TensorFlow Tutorial

TensorFlow tf.tensordot() is a powerful function to multiply tensors. It allows us to multiply different rank tensors. In this tutorial, we will use some examples to show you how to use this function.

## Understand tf.contrib.layers.fully_connected(): How to Use and Regularization – TensorFlow Tutorial

In tensorflow, tf.contrib.layers.fully_connected() allows us to create a fully connected layer. In this tutorial, we will discuss some details on it.

## Understand tf.layers.Dense(): How to Use and Regularization – TensorFlow Tutorial

tf.layers.Dense() is widely used in models built by tensorflow. In this tutorial, we will use some examples to show how to use tf.layers.Dense().