Devansh16

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machine learning machinelearningmadesimple ai big data intelligence research images math learning business intelligence analytics statistics analysis deep learning clustering classification google coding data mathematics technology automation objects training model computer devansh marketing networking business internet environment sigmoid medicine segmentation artificial networks facebook fang algorithms group earnings stock market investment architecture security performance understand paper iteration k-fold proof cross-validation cv code tsne

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Devansh16

Apresentações

Machine Learning Made Simple: Differential evolution

Recurrence relationships

Semi supervised learning machine learning made simple

Sigmoid function machine learning made simple

Documentos

Deep learning ensembles loss landscape

Noisy student images

Paper Explained: RandAugment: Practical automated data augmentation with a reduced search space

Paper Explained: Understanding the wiring evolution in differentiable neural architecture search

Paper Explained: One Pixel Attack for Fooling Deep Neural Networks

Paper Explained: Deep learning framework for measuring the digital strategy of companies from earnings calls

A simple framework for contrastive learning of visual representations

Paper Annotated: SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation

When deep learners change their mind learning dynamics for active learning

Accounting for variance in machine learning benchmarks

Spine net learning scale permuted backbone for recognition and localization

Gostaram