Download the complete blueprint to making a movie for free: https://bit.ly/moviemakingblueprint

Camera guides, filmmaking and cinematography courses:
http://wolfcrow.ontraport.com/tl/8

What's in my camera bag:
http://wolfcrow.ontraport.com/tl/9

Find gear on Amazon:
https://www.amazon.com/shop/wolfcrow/

Find gear on B&H:
https://bhpho.to/2N3Na21

Buy the Red Monstro: https://bhpho.to/2WyDWlk
Buy the Sony Venice: https://bhpho.to/2WyDPWW

I rented a Red Monstro 8K cinema camera for a recent short film. I used Arri Master Anamorphics for a 2.40:1 finish, so my settings were 8K 6:5, 4:1 compression at about T8 mostly.

I also tested the Sony Venice for this project, since both of them are good cameras for low light. Overall, till ISO 3200, they are pretty much similar. At ISO 6400 the Sony Venice is definitely better, and it has great IRND filters that retain color information all the way up. Still, I picked the Monstro for reasons explained in the video.

BTS by Shrey Gambhir and Shyam Kamble
Camera rented from Kshitij Entertainment
Associate Cameramen: Shomit Naik and Murugan Vellaidurai
Focus Puller: Raju Kamat
Key Grip: Ganesh
Gaffer: Mehmood Ali

I'll publish the short film once I'm done with post.

Links related to this video:

Arri Alexa LF review: https://www.youtube.com/watch?v=36SgNE2qMLM
Arri vs Red: When to pick which: https://www.youtube.com/watch?v=ofKveshwVbo
Comparison of Cine Primes for Full Frame: http://bit.ly/2JO0BEo
Rice Mill: https://www.youtube.com/watch?v=dvccueIPlfo
Anamorphic Workflow Guide: https://www.youtube.com/watch?v=o6y9zrFJNFI
Red ISO page: https://www.red.com/red-101/iso-speed-revisited
Written review: http://bit.ly/2JOsSuq

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Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do.

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

If you'd like to support StatQuest, please consider...

Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC

Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channe....l/UCtYLUTtgS3k1Fg4y5

...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/s....tatquest-with-josh-s

...buying one or two of my songs (or go large and get a whole album!)
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...or just donating to StatQuest!
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Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
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0:00 Awesome song and introduction
2:01 A simple dataset and problem
3:37 Description of Neural Networks
7:54 Creating a squiggle from curved lines
15:25 Using the Neural Network to make a prediction
16:38 Some more Neural Network terminology

#StatQuest #NeuralNetworks

Want to get your hands on GPT3 but cbbd waiting for access?

Need to kick off some AI powered text gen ASAP?

Want to write a love song using AI?

I got you!

In this video, you'll learn how to leverage GPT Neo, a GPT3 architecture clone, which has been trained on 2.7 BILLION parameters to generate text and code. You'll learn how to get setup and leverage the model for a whole range of use cases in just 4 lines of code!

In this video you’ll learn how to:
1. Install GPT Neo a 2.7B Parameter Language Model
2. Generate Python Code using GPT Neo
3. Generate text using GPT Neo and Hugging Face Transformers

GET THE CODE FROM THE VIDEO: https://github.com/nicknochnack/GPTNeo

Code from the previous tutorial:
https://github.com/nicknochnack/MediaPipeHandPose

Chapters:
0:00 - Start
1:15 - How it Works
2:45 - Install PyTorch and Transformers
5:08 - Setup GPT Neo Pipeline
8:08 - Generate Text from a Prompt
14:46 - Export Text to File
17:48 - Wrap Up

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!