at this point it's clear to me that you don't know what you're talking about.(00:23:00 - 01:00:35) - Yolo V5 Snowboarding LIVE

at this point it's clear to me that you don't know what you're talking about.(00:23:00 - 01:00:35)
Yolo V5 Snowboarding LIVE

I like to snowboard and i like to code. Guess it's time to combine these 2 interests into one live video!! I'm going to strap a GoPro to myself as i snowboard to record training data. Then, we're going to use the latest version of the popular YOLO (You Only Look Once) algorithm to detect other sn...
I like to snowboard and i like to code. Guess it's time to combine these 2 interests into one live video!! I'm going to strap a GoPro to myself as i snowboard to record training data. Then, we're going to use the latest version of the popular YOLO (You Only Look Once) algorithm to detect other snowboarders automatically. We'll look at the history of Object Detection and algorithms, then come to interesting conclusions about what makes the latest version of YOLO unique. Using the bounding boxes will help me improve my own ability to navigate and analyze different snowboarding techniques effectively. AI tech is amazing, but let's talk less about it and just build it for our own day to day uses. I'm going to ask you 3 questions about Object Detection, so i'm going to need you to start studying from my list of curated learning resources below. 3 Data Wizards will win $50 in BTC each this week, everyone on Earth is eligible, get hype!

Answer live questions here:
www.itempool.com/llSourcell/live

Train custom data on YOLO:
https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data

Subscribe for more educational videos! And like. And comment.

Join the Code Royale discord server to connect with other Data Wizards before & after the stream:
https://discord.gg/v8QqtPy3Af
------------------------------------------------------------------------------------
This week's study curriculum to prepare for the game below:

Read the YOLO v1 Paper
https://arxiv.org/pdf/1506.02640.pdf

Watch My YOLO video:
https://www.youtube.com/watch?v=4eIBisqx9_g

Read this Nvidia doc on YOLO:
https://docs.nvidia.com/isaac/isaac/packages/yolo/doc/yolo.html
------------------------------------------------------------------------------------

Learn Machine Learning in 3 Months for free:
https://www.youtube.com/watch/Cr6VqTRO1v0

Twitter: www.twitter.com/sirajraval
Instagram: www.instagram.com/sirajraval
Email: hello@sirajraval.com

This week's prize money was sponsored by Zilliqa:
https://dev.zilliqa.com/ - Zilliqa Developer Portal
https://scilla.readthedocs.io/ - Scilla Documentation Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available):
https://www.wagergpt.co

Siraj Raval

※本サイトに掲載されているチャンネル情報や動画情報はYouTube公式のAPIを使って取得・表示しています。

Timetable

動画タイムテーブル

動画数:471件

. - I Built a Sports Betting Bot (WagerGPT)

.

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @ckq 様 
00:02:22 - 00:05:48
that’s an outdated player roster from 3 years ago buddy - I Built a Sports Betting Bot (WagerGPT)

that’s an outdated player roster from 3 years ago buddy

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @metalflames4 様 
00:02:22 - 00:05:48
fwiw they went 1-3 on those picks - I Built a Sports Betting Bot (WagerGPT)

fwiw they went 1-3 on those picks

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @ckq 様 
00:02:40 - 00:05:48
😂 - I Built a Sports Betting Bot (WagerGPT)

😂

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @tennisprotrader 様 
00:05:22 - 00:05:48
the lie. any apple m* processor has it, even many phone processor have - Deep Learning with 4th Gen Xeon Processors and Intel® Accelerator Engines (AWS re:Invent 2023)

the lie. any apple m* processor has it, even many phone processor have

Deep Learning with 4th Gen Xeon Processors and Intel® Accelerator Engines (AWS re:Invent 2023)
2023年12月14日  @somerndid 様 
00:02:01 - 00:04:50
@ you are showing what appears to be yet another medical dataset "medalpaca/medical_meadow_mediqa" but it is unclear how that is used. - DoctorGPT: Offline & Passes Medical Exams!

@ you are showing what appears to be yet another medical dataset "medalpaca/medical_meadow_mediqa" but it is unclear how that is used.

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:13:12 - 00:18:13
@What exactly are you concatenating? You say "instruction column and input column into a single input" but the code references only the "question" column from the "GBaker/MedQA-USMLE-4-options" dataset.  The question is then submitted for inference as-is, without being combined with anything as far as I can tell. Also - are the options (answer choices) and correct_answer_idx (multiple choice answer) used anywhere? - DoctorGPT: Offline & Passes Medical Exams!

@What exactly are you concatenating? You say "instruction column and input column into a single input" but the code references only the "question" column from the "GBaker/MedQA-USMLE-4-options" dataset. The question is then submitted for inference as-is, without being combined with anything as far as I can tell. Also - are the options (answer choices) and correct_answer_idx (multiple choice answer) used anywhere?

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:13:21 - 00:13:12
@ you mention SFT with the base model, but the code appears to be using the chat model - DoctorGPT: Offline & Passes Medical Exams!

@ you mention SFT with the base model, but the code appears to be using the chat model

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:18:13 - 00:38:49