# YunYang1994/TensorFlow2.0-Examples

difficult algorithm, simple code.

repo name | YunYang1994/TensorFlow2.0-Examples |

repo link | https://github.com/YunYang1994/TensorFlow2.0-Examples |

homepage | |

language | Jupyter Notebook |

size (curr.) | 10633 kB |

stars (curr.) | 705 |

created | 2019-03-07 |

license | MIT License |

This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks and source codes with explanation. **It will be continuously updated !** ππππππ

## Contents

#### 1 - Introduction

**Hello World**(notebook) (code). Very simple example to learn how to print “hello world” using TensorFlow.**Variable**(notebook) (code). Learn to use variable in tensorflow.**Basical operation**(notebook) (code). A simple example that covers TensorFlow basic operations.**Activation**(notebook) (code). Start to know some activation functions in tensorflow.**GradientTape**(notebook) (code). Introduce a key technique for automatic differentiation

#### 2 - Basical Models

**Linear Regression**(notebook) (code). Implement a Linear Regression with TensorFlow.**Logistic Regression**(notebook) (code). Implement a Logistic Regression with TensorFlow.**Multilayer Perceptron Layer**(notebook) (code). Implement Multi-Layer Perceptron Model with TensorFlow.**CNN**(notebook) (code). Implement CNN Model with TensorFlow.

#### 3 - Neural Network Architecture

**VGG16**(notebook) (code)(paper). VGG16: Very Deep Convolutional Networks for Large-Scale Image Recognition.**Resnet**(notebook) (code)(paper). Resnet: Deep Residual Learning for Image Recognition. π₯π₯π₯**AutoEncoder**(notebook) (code)(paper). AutoEncoder: Reducing the Dimensionality of Data with Neural Networks.

#### 4 - Object Detection

**MTCNN**(notebook) (code)(paper). MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks.*(Face detection and Alignment)*π₯π₯

**Faster R-CNN**(notebook) (code)(paper). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.π₯π₯π₯π₯ γTO DOγ

#### 5 - Image Segmentation

**FCN**(notebook) (code)(paper). FCN: Fully Convolutional Networks for Semantic Segmentation. π₯π₯π₯π₯π₯

**Unet**(notebook) (code)(paper). U-Net: Convolutional Networks for Biomedical Image Segmentation. π₯π₯

#### 6 - Generative Adversarial Networks

**DCGAN**(notebook) (code)(paper). Deep Convolutional Generative Adversarial Network.**Pix2Pix**(notebook) (code)(paper). Image-to-Image Translation with Conditional Adversarial Networks.