Hi, I made this video when a lot of students were questioning about preparing .csv file on Aladdin Persson's youtube in the following video.

How to build custom Datasets for Images in Pytorch
https://www.youtube.com/watch?v=ZoZHd0Zm3RY

So now that you know the basics of what Pytorch is, let's apply it using a basic neural network example. The very first thing we have to consider is our data.

Text-based tutorials and sample code: https://pythonprogramming.net/....data-deep-learning-n

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Despite its popularity, machine vision is not the only Deep Learning application. Deep nets have started to take over text processing as well, beating every traditional method in terms of accuracy. They also are used extensively for cancer detection and medical imaging. When a data set has highly complex patterns, deep nets tend to be the optimal choice of model.

Demo URLs
Clarifai - http://www.clarifai.com
Metamind - https://www.metamind.io/language/twitter

As we have previously discussed, Deep Learning is used in many areas of machine vision. Facebook uses deep nets to detect faces from different angles, and the startup Clarifai uses these nets for object recognition. Other applications include scene parsing and vehicular vision for driverless cars.

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Deep Nets are also starting to beat out other models in certain Natural Language Processing tasks like sentiment analysis, which can be seen with new tools like MetaMind. Recurrent nets can be used effectively in document classification and character-level text processing.

Deep Nets are even being used in the medical space. A Stanford team was able to use deep nets to identify 6,642 factors that help doctors better predict the chances of cancer survival. Researchers from IDSIA in Switzerland used a deep net to identify invasive breast cancer cells. In drug discovery, Merck hosted a deep learning challenge to predict the biological activity of molecules based on chemical structure.

In finance, deep nets are trained to make predictions based on market data streams, portfolio allocations, and risk profiles. In digital advertising, these nets are used to optimize the use of screen space, and to cluster users in order to offer personal ads. They are even used to detect fraud in real time, and to segment customers for upselling/cross-selling in a sales environment.

What is your favorite deep learning application? Please comment and share your thoughts.

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In this 2018 GDC session, Valve's John McDonald discusses how Valve has utilized Deep Learning to combat cheating in Counter-Strike: Global Offensive.

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This is a report of a software project that created the conditions for evolution in an attempt to learn something about how evolution works in nature. This is for the programmer looking for ideas for interdisciplinary programming projects, or for anyone interested in how evolution and natural selection work.

Before commenting on the religious/theological implications of this simulation, please note that this video in no way purports to explain all the mysteries of life and the universe.

GitHub: https://github.com/davidrmiller/biosim4

What will the future of AI programming look like with tools like ChatGPT and GitHub Copilot? Let's take a look at how machine learning could change the daily lives of developers in the near future.

#ai #tech #TheCodeReport

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Believer Music Video! Sung by the Fun Squad (Imagine Dragons Cover) Fun Squad Family and the @ImagineDragons charity, TRF @trfdotorg, team up to share the fight against pediatric cancer through the eyes of a survivor. The story is uniquely told through music video, as the Fun Squad Family musician teens, Jack, Jazzy and Kade Skye, sing a cover of the Imagine Dragons’ song, Believer in a captivating depiction of real-life courage and bravery, Averi of @OurFantasticFive .

OUR GOAL: Help us raise $100K for kids with cancer and hit 5M views of AWARENESS for TRF! What can you do? SHARE THE VIDEO and DONATE! The mission of TRF is to strengthen families financially and emotionally as they cope with the tragedy of a pediatric cancer diagnosis by offsetting out-of-pocket life expenses. Find out more at TRF.org or https://www.youtube.com/@TylerRobinsonFoundation

Thanks to Kids Foot Locker @kidsfootlocker for donating $10K! Thanks to @AmericanGirl for donating $8,500!

Thanks to Imagine Dragons for their inspiring music! @ImagineDragons - Imagine Dragons - Symphony (Official Visualizer)
https://www.youtube.com/watch?v=K0x-P5xmBHs

Thanks to the Averi and family for sharing their story at Our Fantastic Five - @OurFantasticFive
https://www.youtube.com/@OurFantasticFive

Check out the Ninja Fam video for TRF too: @TheNinjaFam
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Thanks To Beast Philanthropy for MrBeast’s inspiring philanthropic videos! @BeastPhilanthropy - We Did 10,000 Random Acts of Kindness
https://www.youtube.com/watch?v=qDeeJukyuXY&t=1s

Believer backup vocals: Elle Johnson, Lexi Johnson, Crew Johnson, Christy Higgins, Landon Ally, Sarah Skye, Brandon Skye, Becky Willard

Thanks to Becky Willard at Vox Fox Studios for the arrangement.

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