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Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

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πŸ“‚ Tags: #transformers #python #nlp

http://t.me/codeprogrammer πŸ”’

The Transformer's encoder clearly explained πŸ‘‡
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πŸ“‚ Tags: #transformers #python #nlp

http://t.me/codeprogrammer πŸ”’

The Transformer's decoder clearly explained πŸ‘‡
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πŸ“‚ Tags: #transformers #python #nlp

http://t.me/codeprogrammer πŸ”’

The Transformers architecture clearly explained 🫴
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🌟 Dive into the world of Transformers and Self-Attention with one of YouTube's best-kept secrets! 🧠✨ Nobody breaks down complex AI concepts like Professor Bryce – his passion for teaching and dedication to clarity make every lesson unforgettable. πŸ’‘πŸ“š

Whether you're an AI enthusiast, a machine learning student, or just curious about cutting-edge tech, this video is a *must-watch*. Get ready to level up your understanding of how Transformers work in the most engaging way possible! πŸš€

πŸ”— Watch here: YouTube Video

#AI #MachineLearning #DeepLearning #Transformers #SelfAttention #ArtificialIntelligence #TechEducation #LearnAI

https://t.me/CodeProgrammer
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Some people asked me about a resource for learning about Transformers.

Here's a good one I am sharing again -- it covers just about everything you need to know.

brandonrohrer.com/transformers

Amazing stuff. It's totally worth your weekend.

#Transformers #DeepLearning #NLP #AI #MachineLearning #SelfAttention #DataScience #Technology #Python #LearningResource


https://t.me/CodeProgrammer
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πŸ”₯ Master Vision Transformers with 65+ MCQs! πŸ”₯

Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?

🧠 Dive into 65+ curated Multiple Choice Questions covering the fundamentals, architecture, training, and applications of ViT β€” all with answers!

🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq

πŸ”Ή Table of Contents
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep


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#LSTMs made AI remember before #Transformers took over

here’s the 15-step by-hand ✍️ guide

you can download: https://www.byhand.ai/p/26-lstm

https://t.me/CodeProgrammer
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