Take AI models from development to deployment. Work on image classification and recommendation systems, with CNNs, RNNs and cloud scaling strategies covered along the way. trk.udemy.com/c/6457882/3227… #AD #MachineLearning #DeepLearning

Dept. of AI&DS conducted a guest lecture on “Deep Learning: Powering the Next Generation of Intelligent Systems” on 18 September 2026. #SRMVEC #ArtificialIntelligence #DeepLearning #GuestLecture #EmergingTechnology

Machine Learning Algorithms Source:@PythonPr #AI #DeepLearning #AgenticAI #GenerativeAI #AIAgents #LLM #ArtificialIntelligence #MachineLearning #DataScience #DigitalTransformation #Innovation #EnterpriseAI #AutonomousAgents #AITools #AIAutomation #FutureOfWork #ml

Turn raw text into inputs for neural networks. This 12+ hour course uses Python to cover text preprocessing, TF-IDF, Word2Vec and neural networks, including CNNs and RNNs. trk.udemy.com/c/6457882/3227… #AD #NLP #DeepLearning

5/ A Fusion-in-Decoder architecture processes summarized news alongside a novel human-alignment loss function. This aligns multi-passage representations with real human forecaster belief updates over time. 🤝⚡ #DeepLearning

🌳🌳 Two-Stage #DeepLearning Framework for Individual #Tree Crown #Detection and Delineation in Mixed-Wood Forests Using High-Resolution Light Detection and Ranging #Data ✍️ Qian Li et al. 🔗brnw.ch/21x5QxT

4/4 📦 Open Frontier Research: Strictly for research & educational exploration. Weights, standalone PyTorch code & configs are open on Hugging Face: 🔗 huggingface.co/Cortiqa/rever… #AI #DeepLearning #LLMs #OpenSource #Cortiqa

Cross-entropy, part 5: one sample becomes a batch. - Score all four samples, then add the errors up - t and y take a second subscript i for the sample - Divide the sum by N so batch sizes stay comparable That is categorical cross-entropy. Link in reply. #DeepLearning #AI

Rails World 2026 يشعل نقاش المطورين: الكلمة الافتتاحية جذبت 310 تعليقات. لماذا هذا مهم؟ لأن مستقبل البرمجة يحدد كيفية دمج الذكاء الاصطناعي في التطبيقات. piped.video/watch?v=vDjW_dRy… #DeepLearning #AI #GenerativeAI

As #DeepLearning models evolve, the hardware behind them must keep pace. This #PIEEEKnowledgeInFocus article surveys how #FPGA architectures are adapting to accelerate #DL inference, from optimized building blocks to specialized tensor compute, and beyond: bit.ly/ProceedingsIEEE-KIF_F…

Under the hood: 0.7 billion parameters, ResoNet architecture (custom code), and safetensors format. Trained on diverse text data. Lightweight yet capable for its size. #AIArchitecture #DeepLearning

🚀 **Maîtrisez l’IA d’aujourd’hui, construisez les solutions de demain.** 🧠 Réseaux de neurones 👁️ CNN & Computer Vision ⚡ Transformers & ViT 💻 Deep Learning & PyTorch 🎯 Théorie → pratique → projets réels 👉 Rejoignez le mentoring IA #IA #DeepLearning #MachineLearning

Study Reveals Mixed Results with #DeepLearning Model for Breast #MRI hubs.li/Q04yhxwM0 @RadiologyACR @ARRS_Radiology @RSNA @BreastImaging @ISMRM #radiology #RadRes #BreastImaging

How much can a fundus photograph tell you about biological aging? Researchers at Seoul National University developed a deep-learning model which may serve as a scalable, population-level characterization of biological aging. #Artificial Intelligence # Ophthalmology #DeepLearning

Container tracking, damage detection during crane unloading operations at container terminals: “Real-time #ContainerTracking and #DamageDetection at Seaports Using #DeepLearning” by S. Vasileiadis, S. Aslam, K. Orphanides, et al. ACSIS Vol. 43 p. 265–276; tinyurl.com/3arrsj5j

Here is another synth-#brain: "#Deeplearning -assisted #simulation of a cortical circuit: integrating anatomy, physiology and function" biorxiv.org/content/10.64898…

Day 114 —> Becoming an AI Engineer Transformer Block from scratch : LayerNorm → Masked MHA → Residual → FFN → Residual Insight: Attention mixes information; FFN transforms it; residuals preserve and refine it. #LLM #DeepLearning #Transformers

🚀 Registrations Open! Join our 4-Day Online Workshop: Deep Learning for Bulk RNA-Seq Cancer Classification 🧬🤖 Build, evaluate & interpret ML and DL models using real TCGA transcriptomics datasets! 🔗 Register: forms.gle/M9d7EpRgnPXDWfVx6 #DeepLearning #Bioinformatics

🚀 Registrations Open! Join our 4-Day Online Workshop: Deep Learning for Bulk RNA-Seq Cancer Classification 🧬🤖 Build, evaluate & interpret ML and DL models using real TCGA transcriptomics datasets! 🔗 Register: forms.gle/M9d7EpRgnPXDWfVx6 #DeepLearning #Bioinformatics