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Artificial Intelligence

Logo of telegram channel artificial_intelligence_in — Artificial Intelligence A
Logo of telegram channel artificial_intelligence_in — Artificial Intelligence
Channel address: @artificial_intelligence_in
Categories: Technologies
Language: English
Subscribers: 68.31K
Description from channel

AI will not replace you but person using AI will🚀
I make Artificial Intelligence easy for everyone so you can start with zero effort.
🚀Artificial Intelligence
🚀Machine Learning
🚀Deep Learning
🚀Data Science
🚀Python R
🚀AR and VR
Dm @Aiindian

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The latest Messages 13

2022-01-16 19:08:18 10 Free Resources To Learn PyTorch In 2022

At the NeurIPS conference in 2019, PyTorch appeared in 166 papers, whereas TensorFlow appeared in 74 papers.

Last year, NVIDIA GTC 2021 hosted over 50 different sessions related to PyTorch and Cheery on cake, Facebook and OpenAI has announced last year to migrate all its AI systems to PyTorch.

PyTorch is developed by Facebook AI in 2016 since then it's one of the most popular library. Today PyTorch is one of the most widely used open-source machine learning libraries for wide deep learning applications.

List of curated PyTorch resources:

1) PyTorch Official Tutorials.

2) Intro to Deep Learning with PyTorch
by Facebook AI.

3) PyTorch Fundamentals By Microsoft

4) PyTorch - Python Deep Learning Neural Network API by Deeplizard.

5) Deep Neural Networks with PyTorch by Joseph Santarcangelo

6) PyTorch Basics for Machine Learning by IBM

7) Deep Learning with Python and PyTorch

8) Pytorch - Deep learning with Python by Harrison Kinsley, Sentdex

9) Make Your First GAN Using PyTorch

10) PyTorch Tutorials By Morvan Zhou

Bonus:
Deep Learning with PyTorch book

Visualization of above resources are available on Twitter!
2.1K viewsArtificial Intelligence, edited  16:08
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2022-01-09 19:31:17 Adjust your mindset for Machine Learning with Mark Ryan (Google Manager) Get a chance to WIN free copies of Deep Learning with Structured Data book worth $35.99!! To enter, share LinkedIn post or comment your favorite part from this interview, Or you…
2.0K viewsArtificial Intelligence, edited  16:31
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2022-01-06 17:30:42
Dlib library
A toolkit for Real-world machine learning, computer vision, and data analysis in C++ (with Python bindings).

DLib is an open source modern library with many machine learning algorithms and supporting functionality like threading and networking. In recent update it has a lot many new things .

What makes DLib unique is that it is designed for both research use and creating machine learning applications.

It has machine learning algorithms and supports functionality like threading and networking.

Today in Computer vision for Face related application use of dlib Hog or MMOD CNN is the one of fastest method.

Checkout Dlib page http://dlib.net/
GitHub https://github.com/davisking/dlib
974 viewsArtificial Intelligence, 14:30
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2022-01-06 17:02:27 Artificial Intelligence pinned «Adjust your mindset for Machine Learning with Mark Ryan (Google Manager) Get a chance to WIN free copies of Deep Learning with Structured Data book worth $35.99!! To enter, share LinkedIn post or comment your favorite part from this interview, Or you…»
14:02
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2022-01-05 17:31:01 Adjust your mindset for Machine Learning with Mark Ryan (Google Manager)

Get a chance to WIN free copies of Deep Learning with Structured Data book worth $35.99!!

To enter, share LinkedIn post or comment your favorite part from this interview, Or you can also Retweet this tweet or just share your favorite part from this interview and tag us on Twitter.

Watch Podcast:

4.7K viewsArtificial Intelligence, edited  14:31
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2021-11-17 20:00:48
Artificial Intelligence GitHub repo

In case you missed it, I maintain a highly-curated collection of some of the best and latest AI, ML and Deep learning courses, cheat sheets, papers, Books available. So much good free content to get started with or to catch up on.
https://github.com/Niraj-Lunavat/Artificial-Intelligence
14.4K viewsArtificial Intelligence, edited  17:00
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2021-11-10 17:30:25
When an accident at work caused him to lose his arm, Jason Barnes didn't give up on his passion for music and drums.

See how the team at Georgia Tech used TensorFlow Lite to help him, Never miss a beat.

Read more details here:
https://about.google/stories/jason-barnes-accessibility-tools/#watch-the-film

Learn how you can get started →
http://bit.ly/3F4hnrd

Happy 6th birthday #TensorFlow!
21.5K viewsArtificial Intelligence, 14:30
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2021-10-31 17:30:08
𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 - 𝐀 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦

A project-based data science curriculum for beginners with amazing lessons, notes, and assignments.

10 weeks, 20 lessons in Python.

Really great initiative by Microsoft.
https://github.com/microsoft/Data-Science-For-Beginners
5.2K viewsArtificial Intelligence, edited  14:30
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2021-10-30 17:30:05
What if I am not Good Programmer?

Programming is a integral part of Artificial intelligence but AI or Machine learning is much larger than just programming.

You do not always have to be a programmer to get started in machine learning or find solutions to Machine learning, Data science complex problems.

Checkout, No code platforms!
http://bit.ly/2ZGAxEJ
2.9K viewsArtificial Intelligence, 14:30
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2021-10-21 17:30:06 It took me 5-years to feel confident in data science. True story.

This is coming from a Matt Dancho, who has created two R packages that combine for 1.5 Million downloads. He trained elite data scientists at Apple, Walmart, Google. And has built a career teaching students how to become data scientists.

Why did it take so long?

Too many resources. I thought I had to learn everything. Deep learning. Machine learning. Algorithms. The toughest part was figuring out which tools to learn and which were “red herrings” (a waste of time). This cost me years going back and forth between R and Python, listening to too many people saying what they thought I needed to learn (and finding out they’ve never actually done half the things they are telling me to do).

Learning from bootcamps. I learned a ton of skills but I never used 90%. Worse, I didn’t know which 10% that were actually useful. Plus they didn’t teach some of the things that are absolutely critical.

I remember after my first bootcamp I struggled making a random forest because I didn’t know how work with features and format them right. This left me confused and unconfident. Set me back months.

Researching topics too in depth before getting started. I love learning, but there is a trade off with trying to master before applying. Masters become masters by making lots of mistakes and learning. Not reading about topics for weeks before applying.
9.5K viewsArtificial Intelligence, edited  14:30
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