# 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.

## Implement F1-Measure with Masking in TensorFlow – TensorFlow Tutorial

Accuracy and F1 measure are two important metrics to evaluate the performance of deep learning model. In this tutorial, we will introduce how to calculate F1-Measure with masking in tensorflow.

## Implement Accuracy with Masking in TensorFlow – TensorFlow Tutorial

Accuracy is an important metrics to evaluate the ai model. In this tutorial, we will introduce how to calculate accuracy with maksing in TensorFlow.

## Implement Sigmoid Cross-entropy Loss with Masking in TensorFlow – TensorFlow Tutorial

Sigmoid cross-entropy loss is also often used in deep learning mode. In this tutorial, we will introduce how to compute sigmoid cross-entropy loss with masking in tensorflow.

## Implement Softmax Cross-entropy Loss with Masking in TensorFlow – TensorFlow Tutorial

We often need to process variable length sequence in deep learning. In that situation, we will need use mask in our model. In this tutorial, we will introduce how to calculate softmax cross-entropy loss with masking in TensorFlow.

## Understand tf.nn.conv1d(): Compute a 1-D Convolution – TensorFlow Tutorial

TensorFlow tf.nn.conv1d() allow us to compute a 1-D convolution for a tensor. In this tutorial, we will use some examples to show you how to use this function correctly.

## Understand Leaky ReLU Activation Function: A Beginner Guide – Deep Learning Tutorial

Leaky ReLU is an activation function in deep learning, it often is used in graph attention networks. In this tutorial, we will introduce it for deep learning beginners.

## Matplotlib Show Images Processed by CNN Networks – Deep Learning Tutorial

We often use CNN networks to process images in deep learning. However, how to see the effect of images processd by CNN networks? In this tutorial, we will introduce the way to use python matplotlib to display.

## Implement TensorFlow CNN Networks for MNIST Handwritten Digits Classification – TensorFlow Tutorial

CNN networks are widely used in deep learning, in this tutorial, we will build a cnn network for mnist handwritten digits classification. It will help you understand how to use cnn in deep learning.

## Understand tanh(x) Activation Function: Why You Use it in Neural Networks

tanh(x) activation function is widely used in neural networks. In this tutorial, we will discuss some features on it and disucss why we use it in nerual networks.

## Understand TensorFlow tf.slice(): Split a Submatrix From a Tensor – TensorFlow Tutorial

TensorFlow tf.slice() allow us to extract a submatrix from a tensor. In this tutorial, we will use some examples to illustrate how to use it.