[AI] 深度网络 - DNN

认识卷积网络

一、基本资料

  • 收集整理

Goto: 本人AI知识体系导航 - AI menu - Deep Learning - 理论

Goto: 本人AI知识体系导航 - AI menu - Deep Learning - 训练

Goto: 本人AI知识体系导航 - AI menu - "深度学习概念 - [UFLDL] ConvNet" [卷积网络]

Goto: 本人AI知识体系导航 - AI menu - Deep Learning - 编程

Goto: 本人AI知识体系导航 - AI menu - Deep Learning - 模型

  • 历史发展

[Deep Learning] How deep is the Deep Learning - History

[Deep Learning] How deep is the Deep Learning - Revolution

[Deep Learning] How deep is the Deep Learning - Reinforcement Learning

  • Hinton 课程

[Hinton] Neural Networks for Machine Learning - Basic

[Hinton] Neural Networks for Machine Learning - Converage

[Hinton] Neural Networks for Machine Learning - RNN

[Hinton] Neural Networks for Machine Learning - Bayesian

[Hinton] Neural Networks for Machine Learning - Hopfield Nets and Boltzmann Machine

 

 

二、知识体系

  • 网络结构

[CNN] What is Convolutional Neural Network [参数计算]

[Converge] Backpropagation Algorithm [以及代码实现]

[Converge] Training Neural Networks

 

  

 

 

目标检测

一、理论学习

  • 传统方法

Goto: 本人AI知识体系导航 - AI menu - "增强现实 - Deep Learning 识别" - 综述

 

  • 深度学习方法

Goto: 本人AI知识体系导航 - AI menu - "增强现实 - Deep Learning 识别" - 目标定位

[Localization] SSD - Single Shot MultiBoxDetector

[Localization] MobileNet with SSD

 

二、训练实战

  • 迁移学习

[Tensorflow] Object Detection API - prepare your training data　　                 【数据】

[Tensorflow] Object Detection API - build your training environment　　　　  【训练】

[Tensorflow] Object Detection API - predict through your exclusive model　　【部署】

[Tensorflow] Object Detection API - retrain mobileNet        【retain理论】

[Tensorflow] Object Detection API - mobileNet_v1.py          【模型细节】

[Tensorflow] Object Detection API - GCP                             【云端训练】

[Link] Real Time Face Mask Detection with Tensorflow and Python | Custom Object Detection w/ MobileNet SSD【更新的方法】

 

三、模型部署

  • 集成 OpenCV DNN

[OpenCV] Install OpenCV 3.3 with DNN

[OpenCV] Install OpenCV 3.4 with DNN

[OpenCV] Install OpenCV 4.0 with DNN

 

  • DNN 的移动端部署

[Android Studio] Using Java to call OpenCV

[Android Studio] Using NDK to call OpenCV 

[Android Studio] Using API of OpenCV DNN

 

  • TF Lite 的移动端部署

[Tensorflow] Android Meets TensorFlow【简介】

[Tensorflow] TensorFlow Lite Tutorial【使用】

[TF Lite] TensorFlow Lite with OpenGL ES【优化】

[TF Lite] Build Training Platform for TensorFlow Lite Model【搭建 - ssd_mobilenet_v1_quantized_300x300 for GCP】

[TF Lite] Re-train ssd_mobilenet_v1_quantized_coco【搭建 - ssd_mobilenet_v1_quantized_300x300 for LOCAL】

[TF Lite] How to convert a custom model to TensorFlow Lite【訓練 - ssd_mobilenet_v2_quantized_300x300】

[TF Lite] Working with TensorFlow Lite on Android with C++【部署】

[C++] TensorFlow & TFLite - C++ API【Image Classification】

[MediaPipe] Try Object Detection and Tracking

 

  • TensorFlow.js 的前端部署

[Web CV] OpenCV.js and TensorFlow.js【定制编译】

[Web CV] Add TensorFlow.js into front-end

[Web CV] Retrain MobileNet for TensorFlow.js【模型比对压缩？】

[Web CV] Retrain MobileNet for the web

[Web CV] MobileNet in TF.js

 

  • ARCore 的移动端部署

[ARCore] 00 - The First Demo

[ARCore] 01 - Plane Detection

[ARCore] 02 - Solar System

[ARCore] 03 - Image Identification

 

  • ARM Computer Library

[ARM] Arm Compute Library for computer vision and machine learning【ACL】

[ARM] Accelerate computing on Android【ACL】

[ARM] Arm NN SDK build environment for TensorFlow Lite【ARM NN based on ACL】

[Link] Deploying a quantized TensorFlow Lite MobileNet V1 model【ARM NN based on ACL】

 

 

 

 

TF & Keras 编程

一、TensorFlow Python

  • 官方资料

[Link] TensorFlow 官网

 

  • 民间资历

[Link] 利炳根_TensorFlow 相关博文目录

[Link] 学习笔记TF050:TensorFlow源代码解析

[Book] TensorFlow技术解析与实战 - 李嘉璇

[code] Technical-Analysis-And-Practice-in-TensorFlow【书的代码】

 

  • TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners

⭐️ Google Colaboratory Notebooks ⭐️

复制代码

📕 Module 2: Introduction to TensorFlow - https://colab.research.google.com/dri...

📗 Module 3: Core Learning Algorithms - https://colab.research.google.com/dri...

📘 Module 4: Neural Networks with TensorFlow - https://colab.research.google.com/dri...

📙 Module 5: Deep Computer Vision - https://colab.research.google.com/dri...

📔 Module 6: Natural Language Processing with RNNs - https://colab.research.google.com/dri...

📒 Module 7: Reinforcement Learning - https://colab.research.google.com/dri...

⭐️ Course Contents ⭐️

⌨️ Module 1: Machine Learning Fundamentals (00:03:25)

⌨️ Module 2: Introduction to TensorFlow (00:30:08)

⌨️ Module 3: Core Learning Algorithms (01:00:00)

⌨️ Module 4: Neural Networks with TensorFlow (02:45:39)

⌨️ Module 5: Deep Computer Vision - Convolutional Neural Networks (03:43:10)

⌨️ Module 6: Natural Language Processing with RNNs (04:40:44)

⌨️ Module 7: Reinforcement Learning with Q-Learning (06:08:00)

⌨️ Module 8: Conclusion and Next Steps (06:48:24) 

Last time: 1:00:02 / 6:52:07

View course list 
复制代码

 

  • Cookbook

[Tensorflow] Cookbook - The Tensorflow Way

[Tensorflow] Cookbook - Neural Network

[Tensorflow] Cookbook - CNN

[Tensorflow] Cookbook - Tensorboard***

[Tensorflow] Cookbook - Object Classification based on CIFAR-10

[Tensorflow] Cookbook - Retraining Existing CNNs models - Inception Model

 

[Tensorflow] Practice - The Tensorflow Way

 

 

二、TensorFlow JavaScript

  • TensorFlow.js API

[Link] https://www.tensorflow.org/js/tutorials

[Video] TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)

[Book] Hands-On Machine Learning with TensorFlow.js

[Book] Deep Learning with JavaScript: Neural networks in TensorFlow.js

 

 

三、TensorFlow C++

  • 学习与实践

[TF] TensorFlow & TFLite - C++ API

[TF] All in C++ for TensorFlow

 

 

四、Keras实践

Keras: Code examples【官方代码】

Computer Vision

Natural language processing

Structured Data

Timeseries

Audio Data

Generative Deep Learning

Reinforcement learning

Quick Keras recipes

----> Simple custom layer example: Antirectifier

----> Keras debugging tips

----> Endpoint layer pattern

----> A Quasi-SVM in Keras

----> How to train a Keras model on TFRecord files

 

[Keras] Install and environment setting

[Keras] Develop Neural Network With Keras Step-By-Step【套路步骤】

[Keras] Learn API by UNet【更为细节】

[Keras] Model API / dataset Zoo【使用现成的】

[Keras] Python core API【实操一些难点】

 

 

  

其他未整理

[DQN] What is Deep Reinforcement Learning

[DL] *Deep Learning for Industry - Wang Yi

[TF] Architecture - Computational Graphs

[CNN] Tool - Deep Visualization

 

[Caffe] 00 - How to learn it

[NN] First Order Motion Model for Image Animation

 

 

 

 

GAN Series

简介

[GAN] Generative networks

[GAN] How to use GAN - Meow Generator

[GAN] **Before GAN: sparse coding

[Avatar] Avatar by GAN【----> 包括发展综述 to 2021】

 

 

 

 

 

 

Deep Fake Series

Fake Face

一、虚拟主播的脸蛋儿

Artbreeder

  

二、说话的脸蛋儿

[Submitted on 22 Sep 2021 (v1), last revised 24 Sep 2021 (this version, v2)]

Paper: Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation

Code: https://github.com/YuanxunLu/LiveSpeechPortraits

We are really grateful to Andreas from Replicate for his amazing job to make the web demo! Now you can run the Demo on the browser.

 

三、案例

总览，虚拟人物讲解虚拟人物：）

Amazing Digital Characters 01

StyleGAN3 visualization (MetFaces): Clair De Lune【大屏】

StyleGAN3 visualization (AFHQv2): The xx - On Hold (Jamie xx remix)【大屏】

StyleGAN3问世，等变性完美！皮肤毛发不粘屏幕，还能360度旋转【360度旋转】

[GAN] Living Portrait

 

 

Fake Voice

Goto: [Deep Fake] Fake voice 

  

 

End.

posted @   郝壹贰叁  阅读(486)  评论(0)  编辑  收藏  举报
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