Top Tweets for #DeepLEarning
Negra": La inmensidad de sus conexiones matemáticas hace difícil explicar su razonamiento interno exacto.
La complejidad matemática detrás de un simple "Hola". 👇
#ArtificialIntelligence #ChatGPT #MachineLearning #DeepLearning #TechNews
Why do AI models run on GPUs instead of CPUs?
CPU = a few powerful workers.
GPU = thousands working in parallel.
AI is mostly matrix math.
Parallelism wins.
#GPU #CPU #AI #MachineLearning #DeepLearning #Semiconductor
Object Detection of UAV Aerial Images Using YOLOv8 | Computer Vision & Artificial Intelligence
Tutorial link: https://t.co/kzCpCf1XqT
Registration link: https://t.co/9GhCV8iNWd
#deeplearning #Geospatial #machinelearning #remotesensing #yolo
I started Deep Learning for NLP with PyTorch.
This topic helped me understand tensors, autograd, Dataset, DataLoader, ANN training on GPU, overfitting fixes and hyperparameter tuning.
Blog: https://t.co/ryptyDJpRv
GitHub: https://t.co/1I3Hgvtnkv
#PyTorch #DeepLearning #NLP #AI
PyTorch from Scratch - Part 1 🔥
#PyTorch #DeepLearning #MachineLearning #Python #LearnInPublic #AI #100DaysOfCode #DataScience #NeuralNetworks #MLfromScratch #ArtificialIntelligence
🧠Interesting Work
👁️Attention-Based Multimodal Fusion for Salience-Aware Blended Emotion Recognition
🎧by Salas-Cáceres et al
#MultimodalLearning #EmotionRecognition #AttentionMechanisms #AffectiveComputing #AI #HumanComputerInteraction #DeepLearning
📊https://t.co/eKd7ditsvc
Excited to share that my recent paper has been published in the Journal of Contemporary Dental Sciences
🔗 : https://t.co/GJuM5kIyFD
#DeepLearning #DentalResearch #AI #Dentistry
Once basics are solid, go deep:
⑥ Deep Learning
→ Neural Networks
→ TensorFlow or PyTorch
→ CNNs for images
→ NLP for text
This is where you go from ML beginner to AI engineer.
Foundations first though. Always. ⚡
#DeepLearning #AI
TensorFlow powers some of the most impactful AI applications today—from image recognition and NLP to chatbots and predictive analytics. 🚀
Explore the top 5 real-world TensorFlow use cases 👇
https://t.co/FQZ0e96SBX
#TensorFlow #AI #MachineLearning #DeepLearning
Arvind Srinivas identifies the slot to be filled: Applying Bridge360 Metatheory Model lens
#MachineLearning
#ReinforcementLearning
#DeepLearning
https://t.co/JXaTPvbOHv
Der Spezialist für Computer-Vision und Robotik, Steven Cheng, hat ein technisches KI-System entwickelt, das Stechmücken in Innenräumen automatisiert erfasst und mithilfe eines präzisen Lasers neutralisiert. #DeepLearning https://t.co/pfYaTMlIYe
How to Train a Language Model From Scratch in 2026 https://t.co/wO16hnIVGq #LanguageModel #MachineLearning #AITraining #DeepLearning #LLM
Day 2 done! Learned about various AI models and spent time experimenting with Ollama. Excited for what's next! 💡
#LLM #AI #LearningJourney #BuildInPublic #OpenSource #Ollama #AIModels #DeepLearning #CodingJourney #TechCommunity #FutureOfTech"
Where Innovation Meets Intelligence – AIBDA 2026
#AIBDA2026 #ArtificialIntelligence #BigDataAnalytics #MachineLearning #DeepLearning #DataScience #AIConference #FutureTechnology #Innovation #SingaporeEvents #TechConference #ResearchCommunity #AIExperts #DigitalTransformation
Low Loss → Predictions are close to the target values.
High Loss → Predictions are far from the target values.
In simple terms: the loss function tells the model how wrong it is so it can learn to become more accurate.
#AI #MachineLearning #DeepLearning #NeuralNetworks
A Loss Function measures how far a model's predictions are from the true target values.
Input → Model → Prediction (ŷ)
⬇
Loss Function L(y, ŷ)
⬇
Prediction Error
Goal:
Quantify model performance during training.
#AI #MachineLearning #DeepLearning #NeuralNetworks
Moreover this post is a fitting tribute to batting prodigy Vaibhav Suryavanshi with many charts on his batting . Check it out!
#IPL2026 #VaibhavSuryavanshi #MVP #prodigy #sportsanalytics #GenAI #deeplearning
A medical scanning device for early detection of skin cancer. https://t.co/BrqtK41NL5
#medicaldevice #deeplearning #skincancer
AI didn't start with ChatGPT.
From Classical AI → Machine Learning → Neural Networks → Deep Learning → Generative AI → Agentic AI.
This is the evolution of modern AI 👇
#AI #MachineLearning #DeepLearning #GenAI
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