Hey marketers!
We’ve launched a new guide on how rewarded ads can boost your revenue and retain users. Implement rewarded ads without losing users, schedule special promotion days for higher engagement, and seamlessly integrate rewarded ads into your app.
Discover all the secrets by subscribing to our Discord channel: https://discord.gg/2FMh2ZjE8w
We’ve launched a new guide on how rewarded ads can boost your revenue and retain users. Implement rewarded ads without losing users, schedule special promotion days for higher engagement, and seamlessly integrate rewarded ads into your app.
Discover all the secrets by subscribing to our Discord channel: https://discord.gg/2FMh2ZjE8w
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🎁 Lisa has given away over $100,000 in the last 30 days. Every single one of her subscribers is making money.
She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
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Subscribe 👇🏻
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She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
🧠 Do this and she will help you earn :
1. Subscribe to her channel
2. Write “GIFT” to her private messages
3. Follow her channel and trade with her.
Repeat transactions after her = earn a lot of money.
Subscribe 👇🏻
https://t.me/+DqIxOkOWtVw3ZjYx
Thinking about learning Python 🖥
👩💻 Coding in 2024
https://www.youtube.com/shorts/hBgTsN9PVtE
☄️ Where to use Python in Real World
https://www.youtube.com/shorts/gD2YXjMMZs8
Why Python Rules the Coding World!🐍 👑
https://www.youtube.com/shorts/oNDmMSO6ZK0
http://t.me/codeprogrammer✅
https://www.youtube.com/shorts/hBgTsN9PVtE
https://www.youtube.com/shorts/gD2YXjMMZs8
Why Python Rules the Coding World!
https://www.youtube.com/shorts/oNDmMSO6ZK0
http://t.me/codeprogrammer
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-
pip install numpyro
NumPyro is a lightweight probabilistic programming library that adds NumPy capabilities to the Pyro library.
The probabilistic programming process with NumPyro also uses JAX for automatic differentiation and JIT compilation on the GPU/CPU.
http://t.me/codeprogrammer
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⚡️ NOW! Only today-tomorrow I am looking for 10 people for the experiment!
By the end of the month I will try to bring them to a good income. No cheating!
💸I bet a large sum of money that by the end of the month will make 10 unknown people teach to make money on trading. I will not take money. I will not sell anything.
I just sincerely want to help you become more successful and win your bet!
If you want to take part - write me in DM!
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By the end of the month I will try to bring them to a good income. No cheating!
💸I bet a large sum of money that by the end of the month will make 10 unknown people teach to make money on trading. I will not take money. I will not sell anything.
I just sincerely want to help you become more successful and win your bet!
If you want to take part - write me in DM!
👉CLICK HERE👈
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Nothing complicated, you just need the Stegano library:
# pip install stegano
from stegano import lsb
secret = lsb.hide('image.png', 'very secret text')
secret.save('secret_image.png')
print(lsb.reveal('secret_image.png'))
A quick question: how is this ability to store text in a picture implemented?
How easy is it to detect such text hiding?
http://t.me/codeprogrammer
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Initialization can have a significant impact on convergence in training deep neural networks.
Read our guide to learn how to initialize neural network parameters effectively:
https://www.deeplearning.ai/ai-notes/initialization/index.html
http://t.me/codeprogrammer❤️
Read our guide to learn how to initialize neural network parameters effectively:
https://www.deeplearning.ai/ai-notes/initialization/index.html
http://t.me/codeprogrammer
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Football Analysis in Python with Yolov8 & OpenCV
Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7
Deep learning web application for football analysis with Streamlit.
Used material links:
Project repo: https://github.com/Hmzbo/Football-Analytics-with-Deep-Learning-and-Computer-Vision
Custom dataset tips: https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/
Annotation tools:
labelme: https://github.com/wkentaro/labelme
cvat: https://github.com/opencv/cvat
http://t.me/codeprogrammer💬
Video: https://youtu.be/yJWAtr3kvPU?si=Ix9t3QiXR3jwbog7
Deep learning web application for football analysis with Streamlit.
Used material links:
Project repo: https://github.com/Hmzbo/Football-Analytics-with-Deep-Learning-and-Computer-Vision
Custom dataset tips: https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/
Annotation tools:
labelme: https://github.com/wkentaro/labelme
cvat: https://github.com/opencv/cvat
http://t.me/codeprogrammer
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The LLM Scientist Roadmap
Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models.
#LLM #DataScience #Roadmap
http://t.me/codeprogrammer⭐
Ready to become an LLM Scientist? Follow this roadmap to unlock your potential and master the art of Large Language Models.
#LLM #DataScience #Roadmap
http://t.me/codeprogrammer
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Support Vector Machine Notes 🗒️ .pdf
8.6 MB
Support Vector Machine Notes
#SVM #machineLearning #AI #python
http://t.me/codeprogrammer⭐️
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#SVM #machineLearning #AI #python
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