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Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK) – Machine Learning Blog | ML@CMU | Carnegie Mellon University
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Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system | PLOS ONE
A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level | PNAS
Electronics | Free Full-Text | Artificial Neural Networks Based Optimization Techniques: A Review
When can Validation Accuracy be greater than Training Accuracy for Deep Learning Models? | ResearchGate
When can Validation Accuracy be greater than Training Accuracy for Deep Learning Models? | ResearchGate
Neural network features distinguish chemosensory stimuli in Caenorhabditis elegans | PLOS Computational Biology
Improving INT8 Accuracy Using Quantization Aware Training and the NVIDIA TAO Toolkit | NVIDIA Technical Blog
Neural Networks are Function Approximation Algorithms - MachineLearningMastery.com
Artificial Neural Network Model - an overview | ScienceDirect Topics
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Artificial Neural Networks for Beginners » Loren on the Art of MATLAB - MATLAB & Simulink
Achieving FP32 Accuracy for INT8 Inference Using Quantization Aware Training with NVIDIA TensorRT | NVIDIA Technical Blog
DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra | Nature Communications
Deep Learning Neural Network Approach for Predicting the Sorption of Ionizable and Polar Organic Pollutants to a Wide Range of Carbonaceous Materials | Environmental Science & Technology
Equivalent-accuracy accelerated neural-network training using analogue memory | Nature