Google's official response: we have not given up tensorflow and will develop side by side with Jax in the future

Author Chen Ping

Source: heart of machine

TensorFlow Not one of Google 「 sacrifice 」, Will continue to develop .

Some time ago ,AI There is a saying in the world , I mean ,TensorFlow It has become a piece of Google 「 sacrifice 」.

There are also foreign media Business Insider Interviewed a series of developers 、 Hardware expert 、 Cloud providers and people who work closely with Google machine learning , Got the same view ：2015 Year of the birth of TensorFlow, Once brilliant , and Meta stay 2017 Open source in PyTorch Is becoming the overlord in this field , In this war , Google started betting JAX.

People close to the project have told Insider, Google brain and DeepMind Give up to a large extent TensorFlow, Switch to JAX. A Google insider also asked Insider confirmed ,JAX Now almost in Google brain and DeepMind Is adopted worldwide .

People familiar with the project also said ,JAX Now it is expected to become the pillar of all Google products using machine learning in the next few years , It's like TensorFlow stay 2015 What I did a few years later .

For a while , About Google to give up TensorFlow, Full turn JAX Everyone knows the saying of . Revelations from Google insiders , Make people more convinced that this statement is true .

What are the facts ？TensorFlow The official blog responded , This response comes from TensorFlow Two researchers in the team Laurence Moroney and Josh Gordon. In conclusion, it is ： Google hasn't given up like the Internet TensorFlow, Will continue to invest in research and development .

Google ： We didn't give up TensorFlow, Will work with JAX Develop side by side

Stack Overflow Recently released a survey report , According to the report TensorFlow Is the most commonly used ML Tools , By 300 Million software developers adopt . In fact, this figure is just beginning , It is estimated that there will be 400 Million developers hope to adopt it in the near future .

Picture source ：https://survey.stackoverflow.co/2022/#most-loved-dreaded-and-wanted-misc-tech-want

TensorFlow Now it is downloaded more than every month 18M Time , stay GitHub On the accumulation of 166k star —— More than any other ML There are many frames . Inside Google ,TensorFlow Almost all of it AI Production workflow , Include search 、 advertisement 、YouTube、GMail、 Map 、Play etc. . It's also apple 、Netflix、Stripe、 tencent 、 Uber 、 Roche 、LinkedIn、Twitter、 Baidu 、LVMH And so on .

Google Scholar Last month there were more than 3000 A publication mentions TensorFlow, Including important applied scientific research , For example, people who know about cancer CANDLE Research .

In recent years , We learned that a single common framework cannot be applied to all scenarios —— Especially in the field where production and frontier research often conflict . therefore , We created JAX, This is a simplification for distributed numerical computation API, Provide power for the next era of scientific computing research .JAX Very good at driving new areas ： Reach a new parallel scale , In addition, it also promotes new algorithms and architectures , And help researchers develop new compilers and systems .JAX It is really popular in the field of scientific research .

In this multi frame world ,TensorFlow We give it to the application ML A developer's answer —— Engineers need to build and deploy reliable on different scales and platforms 、 Stable 、 High performance ML System . Our vision is to create a cohesive ecosystem , Researchers and engineers can use system components for research , No matter which framework they originated from . We've been JAX and TensorFlow Significant progress has been made in interoperability , especially jax2tf Development of . Development JAX The researchers of the model can pass TensorFlow Platform tools put them into production .

future , We continue to develop TensorFlow , And regard it as a first-class application ML platform , And JAX Push together ML Research and development . We will continue to ML Invest in the framework , To promote research and application , Serve our millions of users .

Reference link ：https://blog.tensorflow.org/2022/06/%20bringing-machine-learning-to-every-developers-toolbox.html?m=1

This article is only for academic sharing , If there is any infringement , Please contact to delete .

Dry goods download and learning

The background to reply ： Barcelo that Autonomous University courseware , You can download the precipitation of foreign universities for several years 3D Vison High quality courseware

The background to reply ： Computer vision Books , You can download it. 3D Classic books in the field of vision pdf

The background to reply ：3D Visual courses , You can learn 3D Excellent courses in the field of vision

Computer vision workshop boutique course official website ：3dcver.com

1. Multi sensor data fusion technology for automatic driving field

2. For the field of automatic driving 3D Whole stack learning route of point cloud target detection ！( Single mode + Multimodal / data + Code )
3. Thoroughly understand the visual three-dimensional reconstruction ： Principle analysis 、 Code explanation 、 Optimization and improvement
4. China's first point cloud processing course for industrial practice
5. laser - Vision -IMU-GPS The fusion SLAM Algorithm sorting and code explanation
6. Thoroughly understand the vision - inertia SLAM： be based on VINS-Fusion The class officially started
7. Thoroughly understand based on LOAM Framework of the 3D laser SLAM: Source code analysis to algorithm optimization
8. Thorough analysis of indoor 、 Outdoor laser SLAM Key algorithm principle 、 Code and actual combat (cartographer+LOAM +LIO-SAM)

9. Build a set of structured light from zero 3D Rebuild the system [ theory + Source code + practice ]

10. Monocular depth estimation method ： Algorithm sorting and code implementation

11. Deployment of deep learning model in autopilot

12. Camera model and calibration ( Monocular + Binocular + fisheye ）

13. blockbuster ！ Four rotor aircraft ： Algorithm and practice

14.ROS2 From entry to mastery ： Theory and practice

15. The first one in China 3D Defect detection tutorial ： theory 、 Source code and actual combat

blockbuster ！ Computer vision workshop - Study Communication group Established

Scan the code to add a little assistant wechat , You can apply to join 3D Visual workshop - Academic paper writing and contribution   WeChat ac group , Aimed at Communication Summit 、 Top issue 、SCI、EI And so on .

meanwhile You can also apply to join our subdivided direction communication group , At present, there are mainly ORB-SLAM Series source code learning 、3D Vision 、CV& Deep learning 、SLAM、 Three dimensional reconstruction 、 Point cloud post processing 、 Autopilot 、CV introduction 、 Three dimensional measurement 、VR/AR、3D Face recognition 、 Medical imaging 、 defect detection 、 Pedestrian recognition 、 Target tracking 、 Visual products landing 、 The visual contest 、 License plate recognition 、 Hardware selection 、 Depth estimation 、 Academic exchange 、 Job exchange Wait for wechat group , Please scan the following micro signal clustering , remarks ：” Research direction + School / company + nickname “, for example ：”3D Vision  + Shanghai Jiaotong University + quietly “. Please note... According to the format , Otherwise, it will not pass . After successful addition, relevant wechat groups will be invited according to the research direction . Original contribution Please also contact .

▲ Long press and add wechat group or contribute

▲ The official account of long click attention

3D Vision goes from entry to mastery of knowledge ： in the light of 3D In the field of vision Video Course cheng （ 3D reconstruction series 、 3D point cloud series 、 Structured light series 、 Hand eye calibration 、 Camera calibration 、 laser / Vision SLAM、 Automatically Driving, etc ）、 Summary of knowledge points 、 Introduction advanced learning route 、 newest paper Share 、 Question answer Carry out deep cultivation in five aspects , There are also algorithm engineers from various large factories to provide technical guidance . meanwhile , The planet will be jointly released by well-known enterprises 3D Vision related algorithm development positions and project docking information , Create a set of technology and employment as one of the iron fans gathering area , near 4000 Planet members create better AI The world is making progress together , Knowledge planet portal ：

Study 3D Visual core technology , Scan to see the introduction ,3 Unconditional refund within days

  There are high quality tutorial materials in the circle 、 Answer questions and solve doubts 、 Help you solve problems efficiently

Feel useful , Please give me a compliment ~