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On Loss Functions for Deep Neural Networks in Classification
dev.to·8h·
Discuss: DEV
🔥PyTorch
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PiC-BNN: A 128-kbit 65 nm Processing-in-CAM-Based End-to-End Binary Neural Network Accelerator
arxiv.org·6h
👁️Computer Vision
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Efficient GAN-Based Anomaly Detection
paperium.net·11h·
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Scalable Machine Learning and Deep Learning
id2223kth.github.io·3d·
Discuss: Hacker News
🔥PyTorch
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Biological Brains Inspire a New Building Block for Artificial Neural Networks
simonsfoundation.org·2d
👁️Computer Vision
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A Complete Guide to Neural Network Optimizers
chizkidd.github.io·2d·
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🔥PyTorch
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Hyperparameter Transfer with Mixture-of-Expert Layers
arxiv.org·6h
🔥PyTorch
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Designing edge AI for industrial applications
edn.com·1d
⚙️Data Engineering
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When Machine Learning Meets Finance: How Modern ML techniques are transforming the way we assess
pub.towardsai.net·6h
🤖AI
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utkuozbulak/pytorch-cnn-visualizations: Pytorch implementation of convolutional neural network visualization techniques
github.com·1d·
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Leveling Up Your Machine Learning: What To Do After Andrew Ng’s Course
machinelearningmastery.com·2d
🚀Model Deployment
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Building a Scalable AI-Powered Lead Scoring Engine: A Developer's Guide
dev.to·2h·
Discuss: DEV
🚀Model Deployment
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The KNN Algorithm (№ 01)
wellactuarially.com·14h
🔥PyTorch
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Ai Rocks
get-rich-slow.com·12h
🤖AI
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Training a 67M-parameter transformer on an M4 Mac Mini
geddydukes.com·18h·
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🤖ML
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ML Systems Textbook
mlsysbook.ai·1d
🚀Model Deployment
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**Abstract:** This paper introduces a novel methodology for detecting criticality in stochastic neural networks (SNNs) leveraging an Enhanced Topological Aut...
freederia.com·8h
🔥PyTorch
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AI that talks to itself learns faster and smarter
sciencedaily.com·1d
🤖AI
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Can Transformers Learn Causality? Part 3: What This Means For Deployment and Practice
philippmuller.bearblog.dev·1d
📝NLP
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