🌟 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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🔥 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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📘 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
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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://yangx.top/DataScienceM🔰
Duration: ~120 minutes
Link: https://hackmd.io/@husseinsheikho/pytorch-1
#PyTorch #DeepLearning #MachineLearning #AI #NeuralNetworks #DataScience #Python #Tensors #Autograd #Backpropagation #GradientDescent #AIForBeginners #PyTorchTutorial #MachineLearningEngineer
https://yangx.top/DataScienceM
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