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Engineering Blog

Stack Decisions

BAGAN4D BAGAN4D
BAGAN4D BAGAN4D

Jul 13, 2024

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227 views227
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BAGAN4D BAGAN4D
BAGAN4D BAGAN4D

Jul 10, 2024

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225 views225
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Mulia77 Slot Gacor
Mulia77 Slot Gacor

Jun 22, 2024

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372 views372
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muliajp jp
muliajp jp

Apr 29, 2024

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118k views118k
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muliajp jp
muliajp jp

Apr 19, 2024

MULIAJP ๐Ÿ‘‘ Daftar Slot777 Paling Gacor Hari ini Situs Resmi Nexus Engine Top No.1 di Asia

11k views11k
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San Jay
San Jay

Mar 28, 2023

Woocomerce would be better choice. Though.wordpress do have infinite choice when it comes to theming.the look of the website. I suggest you hire an professional programmer from fiverr cause there's so much an.single.person Could do

504k views504k
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Jason Mayes
Jason Mayes

Jan 25, 2022

Hello there. I work on the TensorFlow.js team here at Google. Just joined this site so wanted to give a response. Essentially given you are more proficient in Python you may prefer to use that stack but do consider the following edge cases for times where you may need to use them:

1) Speed. TensorFlow.js Node can run faster than TensorFlow Python due to the JIT compiler that JS has. Up to 2x faster for full end to end including pre/post processing. See this blog: https://blog.tensorflow.org/2020/05/how-hugging-face-achieved-2x-performance-boost-question-answering.html

2) If you need to run your model client side then TensorFlow.js is the only option for the browser. By doing that you get the following unique super powers:

a) Privacy - no data needs to be sent to server for inference

b) Cost savings - no expensive server with big GPU needed to run 24/7 to provide a service to your users

c) Can run on device with lower latency - no round trip time to server. Some of our pose models for example run at over 120 FPS on a 1070 GPU in the browser!

d) Reach and scale of the web. Any one anywhere can experience the ML model you make by visiting a link. No Linux setup, no GitHub cloning, no CUDA installation, or deps. It just works. If you want feedback and eyes on your latest model, TensorFlow.js is a great way to showcase it and allow anyone anywhere to try it. You may even find bias etc you need to fix by getting more eyes on it. Very useful!

Good luck on your journey and if you are interested I am launching a brand new course - the first on EdX for TensorFlow.js for Web ML here: https://www.edx.org/course/google-ai-for-javascript-developers-with-tensorflowjs

790k views790k
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Jason Mayes
Jason Mayes

Jan 25, 2022

Hello Neel! Thanks for posting. Only joined this site recently and saw your question, but wanted to reach out anyhow. I am actually launching the first ever EdX course for Machine Learning for Web Engineers hopefully mid February. Free to take if you don't need the certification. Should take you from zero to hero for getting productive with web based ML. Using TensorFlow.js in the browser has a number of advantages over Python - privacy, cost, works offline etc. In today's world both are important but given your web background you may enjoy JS. Also our Node.js implementation runs as fast or faster than Python on the server side. Check these links for further reading:

30 min 2021 overview of TensorFlow.js: https://www.youtube.com/watch?v=uU-u-5Eo65g Book by OReilly: https://www.oreilly.com/library/view/learning-tensorflowjs/9781492090786/ Official TensorFlow.js course coming out in Feb: https://www.edx.org/course/google-ai-for-javascript-developers-with-tensorflowjs

182 views182
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Ishaan Dixit
Ishaan Dixit

Sep 29, 2020

You should not go with react,kotlin and swift those are very colourful languages but java ,node.js etc are colourful yet they have depth. You should only go with kotlin if you want to use android studio it is highly compatible. So its your choice . May you choose the best

500k views500k
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Franklin Yu
Franklin Yu

Mar 31, 2020

You need to decide whether you want to jump into machine learning; the choice is very different with or without it. If you are sure that ML is required, Python is the best choice since you only need to learn one language. You will need Python for ML anyway. Using another language would require you to break the backend into two repositories, or have one repository with two parts loosely coupled with each other (code smell to me).

About support: what do you mean? If you are talking about documentation and tutorial, they are the same. You wonโ€™t regret choosing any one.

As for scalability, cost, and performance: all three are the same. You will already own a team of 10 engineers before you worry about these factors.

977k views977k
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