🌟 Vision Transformer (ViT) Tutorial – Part 2: Implementing ViT from Scratch in PyTorch
Let's start: https://hackmd.io/@husseinsheikho/vit-2
Let's start: https://hackmd.io/@husseinsheikho/vit-2
#VisionTransformer #ViTFromScratch #PyTorch #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #CodingTutorial #AttentionIsAllYouNeed
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🌟 Vision Transformer (ViT) Tutorial – Part 3: Pretraining, Transfer Learning & Real-World Applications
Let's start: https://hackmd.io/@husseinsheikho/vit-3
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Let's start: https://hackmd.io/@husseinsheikho/vit-3
#VisionTransformer #TransferLearning #HuggingFace #ImageNet #FineTuning #AI #DeepLearning #ComputerVision #Transformers #ModelZoo
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🌟 Vision Transformer (ViT) Tutorial – Part 4: Beyond Classification – DETR, Segmentation & Video Transformers
Let's start learn: https://hackmd.io/@husseinsheikho/vit-4
#VisionTransformer #DETR #Segmenter #VideoTransformer #MAE #SelfSupervised #Multimodal #AI #DeepLearning #ComputerVision
Let's start learn: https://hackmd.io/@husseinsheikho/vit-4
#VisionTransformer #DETR #Segmenter #VideoTransformer #MAE #SelfSupervised #Multimodal #AI #DeepLearning #ComputerVision
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🌟 Vision Transformer (ViT) Tutorial – Part 5: Efficient Vision Transformers – MobileViT, TinyViT & Edge Deployment
Read lesson: https://hackmd.io/@husseinsheikho/vit-5
#MobileViT #TinyViT #EfficientViT #EdgeAI #ModelOptimization #ONNX #TensorRT #TorchServe #DeepLearning #ComputerVision #Transformers
Read lesson: https://hackmd.io/@husseinsheikho/vit-5
#MobileViT #TinyViT #EfficientViT #EdgeAI #ModelOptimization #ONNX #TensorRT #TorchServe #DeepLearning #ComputerVision #Transformers
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🌟 Vision Transformer (ViT) Tutorial – Part 6: Vision Transformers in Production – MLOps, Monitoring & CI/CD
Learn more: https://hackmd.io/@husseinsheikho/vit-6
#MLOps #ModelMonitoring #CIforML #MLflow #WandB #Kubeflow #ProductionAI #DeepLearning #ComputerVision #Transformers #AIOps
Learn more: https://hackmd.io/@husseinsheikho/vit-6
#MLOps #ModelMonitoring #CIforML #MLflow #WandB #Kubeflow #ProductionAI #DeepLearning #ComputerVision #Transformers #AIOps
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🌟 Vision Transformer (ViT) Tutorial – Part 7: The Future of Vision Transformers – Multimodal, 3D, and Beyond
Learn: https://hackmd.io/@husseinsheikho/vit-7
#FutureOfViT #MultimodalAI #3DViT #TimeSformer #PaLME #MedicalAI #EmbodiedAI #RetNet #Mamba #NextGenAI #DeepLearning #ComputerVision #Transformers
Learn: https://hackmd.io/@husseinsheikho/vit-7
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🔥 Master Vision Transformers with 65+ MCQs! 🔥
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 — all with answers!
🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq
🔹 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
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 — all with answers!
🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq
🔹 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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Join our WhatsApp channel
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Python | Machine Learning | Data Science WhatsApp Channel. Welcome to our official WhatsApp Channel – your daily dose of AI, Python, and cutting-edge technology!
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🚀 Become an Agentic AI Builder — Free 12‑Week Certification by Ready Tensor
Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit.
The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards.
You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems.
👉 Apply now: https://www.readytensor.ai/agentic-ai-cert/
Ready Tensor’s Agentic AI Developer Certification is a free, project first 12‑week program designed to help you build and deploy real-world agentic AI systems. You'll complete three portfolio-ready projects using tools like LangChain, LangGraph, and vector databases, while deploying production-ready agents with FastAPI or Streamlit.
The course focuses on developing autonomous AI agents that can plan, reason, use memory, and act safely in complex environments. Certification is earned not by watching lectures, but by building — each project is reviewed against rigorous standards.
You can start anytime, and new cohorts begin monthly. Ideal for developers and engineers ready to go beyond chat prompts and start building true agentic systems.
👉 Apply now: https://www.readytensor.ai/agentic-ai-cert/
www.readytensor.ai
Agentic AI Developer Certification Program by Ready Tensor
Learn to build chatbots, AI assistants, and multi-agent systems with Ready Tensor's free,
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self-paced Agentic AI Developer Certification. View the full program guide, project structure,
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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 1 — Foundations of Graph Theory & Why GNNs Revolutionize AI
Duration: ~45 minutes reading time | Comprehensive beginner-to-advanced introduction
Let's start: https://hackmd.io/@husseinsheikho/GNN-1
Duration: ~45 minutes reading time | Comprehensive beginner-to-advanced introduction
Let's start: https://hackmd.io/@husseinsheikho/GNN-1
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #NodeClassification #LinkPrediction #GraphRepresentation #AIforBeginners #AdvancedAI
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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 2 — The Message Passing Framework: Mathematical Heart of All GNNs
Duration: ~60 minutes reading time | Comprehensive deep dive into the core mechanism powering modern GNNs
Let's study: https://hackmd.io/@husseinsheikho/GNN-2
Duration: ~60 minutes reading time | Comprehensive deep dive into the core mechanism powering modern GNNs
Let's study: https://hackmd.io/@husseinsheikho/GNN-2
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #MessagePassing #GraphAlgorithms #NodeClassification #LinkPrediction #GraphRepresentation #AIforBeginners #AdvancedAI
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Duration: ~60 minutes reading time | Comprehensive deep dive into cutting-edge GNN architectures
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #GraphTransformers #TemporalGNNs #GeometricDeepLearning #AdvancedGNNs #AIforBeginners #AdvancedAI
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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 4 — GNN Training Dynamics, Optimization Challenges, and Scalability Solutions
Duration: ~45 minutes reading time | Comprehensive guide to training GNNs effectively at scale
Part 4-A: https://hackmd.io/@husseinsheikho/GNN4-A
Part4-B: https://hackmd.io/@husseinsheikho/GNN4-B
Duration: ~45 minutes reading time | Comprehensive guide to training GNNs effectively at scale
Part 4-A: https://hackmd.io/@husseinsheikho/GNN4-A
Part4-B: https://hackmd.io/@husseinsheikho/GNN4-B
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #PyTorchGeometric #GNNOptimization #ScalableGNNs #TrainingDynamics #AIforBeginners #AdvancedAI
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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 5 — GNN Applications Across Domains: Real-World Impact in 30 Minutes
Duration: ~30 minutes reading time | Practical guide to GNN applications with concrete ROI metrics
Link: https://hackmd.io/@husseinsheikho/GNN-5
Duration: ~30 minutes reading time | Practical guide to GNN applications with concrete ROI metrics
Link: https://hackmd.io/@husseinsheikho/GNN-5
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #RealWorldApplications #HealthcareAI #FinTech #DrugDiscovery #RecommendationSystems #ClimateAI
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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 6 — Advanced Frontiers, Ethics, and Future Directions
Duration: ~50 minutes reading time | Cutting-edge insights on where GNNs are headed
Let's read: https://hackmd.io/@husseinsheikho/GNN-6
Duration: ~50 minutes reading time | Cutting-edge insights on where GNNs are headed
Let's read: https://hackmd.io/@husseinsheikho/GNN-6
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #FutureOfGNNs #EmergingResearch #EthicalAI #GNNBestPractices #AdvancedAI #50MinuteRead
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📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 7 — Advanced Implementation, Multimodal Integration, and Scientific Applications
Duration: ~60 minutes reading time | Deep dive into cutting-edge GNN implementations and applications
Read: https://hackmd.io/@husseinsheikho/GNN7
✉️ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk
Duration: ~60 minutes reading time | Deep dive into cutting-edge GNN implementations and applications
Read: https://hackmd.io/@husseinsheikho/GNN7
#GraphNeuralNetworks #GNN #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #GraphTheory #ArtificialIntelligence #AdvancedGNNs #MultimodalLearning #ScientificAI #GNNImplementation #60MinuteRead
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PyTorch Masterclass: Part 1 – Foundations of Deep Learning with PyTorch
Duration: ~120 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-1
https://t.iss.one/DataScienceM🔰
Duration: ~120 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-1
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https://t.iss.one/DataScienceM
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PyTorch Masterclass: Part 2 – Deep Learning for Computer Vision with PyTorch
Duration: ~60 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-2
https://t.iss.one/DataScienceM💯
Duration: ~60 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-2
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https://t.iss.one/DataScienceM
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