#shorts #machinelearning #deeplearning

In this video we code the K-means clustering algorithm from scratch in the Python programming language. Below I link a few resources to learn more about K means clustering as well as to the Machine Learning Github repository where you can also find the code!

Resources to learn more about K means:
https://youtu.be/Ev8YbxPu_bQ (Watch the following lectures 13.2, 13.3, 13.4, 13.5 also)
http://cs229.stanford.edu/notes/cs229-notes7a.pdf

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
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LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

In this video we show a quick example of how to obtain a clean progress bar that contains information about the current epoch and the progression with regards to loss and accuracy.

Written blogpost if you prefer to read:
https://aladdinpersson.medium.....com/how-to-get-a-pro

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Welcome to another Python 3 basics tutorial. This tutorial is going to be covering the basics of classes in python. For the most part, I just want you to just understand how to read and understand a class' workings. You can think of classes as groupings of functions, usually. Classes quickly work their way into "intermediate" programming, so hopefully I can just help you understand how they work and how to follow code that uses them.

Sample code for this basics series: http://pythonprogramming.net/b....eginner-python-progr

Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M

http://seaofbtc.com
http://sentdex.com
http://hkinsley.com
https://twitter.com/sentdex

Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6

Pakistan is one of the most incredible countries on earth. Enjoy this 4k Scenic Relaxation Film featuring the mindblowing landscapes of Pakistan. From the daunting peak of K2, to the alpine lakes of Gilgit-Baltistan, Pakistan will leave you in awe struck with is out unmatched scenery. Where is your favorite place in Pakistan?

Our other Relaxation films:

India Relaxation Film 4K - https://youtu.be/VVsC2fD1BjA

Nepal Relaxation Film 4K - https://youtu.be/4OiXfDdbtnM

Asia Animals Film 4K - https://youtu.be/KfjIaEP0EtY

Alps Relaxation Film 4K - https://youtu.be/BTMjD7_evjE

New Zealand 4K - https://youtu.be/vtxVK3sbZ0o

French Polynesia 4K - https://youtu.be/YbUkAJHCgd0

The Ocean 4K - https://youtu.be/eoTpdTU8nTA

Italy Relaxation Film 4K - https://youtu.be/H4tyzzP33Cw

Animals 4K - https://youtu.be/pb-j3svRQLI

African Safari 4K - https://youtu.be/P8frC_cLLD4

The Amazon 4K - https://youtu.be/NHo_x7aGGmU

Birds 4K - https://youtu.be/6R8C8BSdMds

Around the World 4K - https://youtu.be/6KL2QZ91kAM

Special thanks to Ali Ahmed for helping film a majority of the video. He has many great films on Pakistan - https://youtu.be/Oz8UVV7nJSA

Special thanks to Andrea Cacciatori for sharing his incredible footage from his expedition to K2 Base Camp. He made a fascinating video of his journey - https://youtu.be/4nj8ivAN-Ds

Andrea's Instagram - https://www.instagram.com/dronextravelxearth/

Great tour group to hike to K2 basecamp - https://epicbackpackertours.co....m/pakistan/k2-base-c

Follow us on instagram @scenicrelaxationfilms

Where we get our music - http://share.mscbd.fm/scenicrelaxation
Great Place for Stock footage - https://bit.ly/38b1EJH
Great Place for Music - https://bit.ly/3GptQHd
Great Place for Assets - https://bit.ly/3K59ZPK
Free stock footage, guides & luts - https://sellfy.com/ryanshirley

Timestamps:

0:00 - Intro
7:39 - Gilgit-Baltistan
14:47 - Green Scenery of Pakistan
17:33 - Islamabad, Lahore, & Faisalabad
20:28 - Pakistan's Coast & Countryside
23:52 - K2 & Karakorum Mountain Range
27:19 - Landscapes of Pakistan
47:24 - Flying Across Pakistan

Thanks for watching :)

Dato GraphLab is a good software platform for Deep Learning projects that require graph analytics and other important algorithms. It provides two deep nets, sophisticated data munging, an intuitive UI, and built-in enhancements for handling big data.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

Dato GraphLab currently offers a vanilla MLP and a convolutional net. An important feature of the platform is the Graph Analytics toolset, which can be run alongside the deep learning models. Other provided tools include text analytics, a recommender, classification, regression, and clustering. You can also point GraphLab at multiple data sources in order to train data loads.

The platform has an intuitive UI along with an extension called the GraphLab Canvas. This extension offers highly sophisticated visualizations of your models.

Even though GraphLab needs to be deployed and maintained on your own hardware, the platform comes with many performance enhancements that speed up training on big data sets.
GraphLab offers three different types of built-in storage – tabular, columnar, and graph. In addition, the platform provides built-in GPU support which is extremely beneficial for training. You can also set up each type of model as a service that can be accessed programmatically through an API.

Under what circumstances would you use a graph in your deep learning projects? Please comment and share your thoughts.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

Point cloud is an important type of geometric data structure. They are simple and unified structures that avoid the combinatorial irregularities and complexities of meshes. These properties make point clouds widely used for 3D reconstruction or visual understanding applications, such as AR, autonomous driving, and robotics. This course will teach how we apply deep learning methods to point cloud data. We will cover the following topics in this short course and will end with some open problems.

• Basic neural architectures to process point cloud as input or to generate point cloud as output
• Scene-level understanding of static and dynamic point clouds
• Point cloud based inverse graphics
• Learning to convert point cloud to other 3D representations
• Learning to map point cloud with data in other modalities (images, languages)

In this project I built a neural network and trained it to play Snake using a genetic algorithm.

Thanks for watching! Subscribe if you enjoyed and Share if you know anyone who would be interested!

GitHub Repo: https://github.com/greerviau/SnakeAI
Twitter: https://twitter.com/greerviau
Support me on Patreon: https://www.patreon.com/greerviau

Thanks to Josh Cominelli for the music!
Soundcloud: https://soundcloud.com/josh-cominelli

github: https://github.com/krishnaik06..../Huggingfacetransfor
In this tutorial, we will show you how to fine-tune a pretrained model from the Transformers library. In TensorFlow, models can be directly trained using Keras and the fit method. In PyTorch, there is no generic training loop so the 🤗 Transformers library provides an API with the class Trainer to let you fine-tune or train a model from scratch easily.
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