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David YanginFenwicksTutorial 2: 94% accuracy on Cifar10 in 2 minutesPrerequisite: Tutorial 0 (setting up Google Colab, TPU runtime, and Cloud Storage)Apr 16, 20191Apr 16, 20191
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Souvik DasBuilding and Evaluating a Convolutional Neural Network (CNN) for Image Classification 👻In this article, we will explore how to build and evaluate a Convolutional Neural Network (CNN) for image classification using the CIFAR-10…13h ago
Moshe Sipper, Ph.D.inLevel Up CodingLoss is BossA short piece with a demo, on the importance of defining a good loss function for your deep network.Jan 1
PraburamMeasuring the Effects of Non-IID Distribution on Federated Visual ClassificationWhat is Federated Learning? Federated Learning is a Privacy preserving framework that allows multiple entities to train a model while…Jul 18
David YanginFenwicksTutorial 2: 94% accuracy on Cifar10 in 2 minutesPrerequisite: Tutorial 0 (setting up Google Colab, TPU runtime, and Cloud Storage)Apr 16, 20191
Preeti AIQuantum Variational Autoencoders (QVAE) for Image GenerationStep 1: Problem Understanding and Data PreparationJul 17
Joshua Phuong LeCIFAR-10 Image Classification: Linear Model vs CNNComputer vision applications have been on a dramatic rise in the last decade thanks to significant improvements in algorithms and…Jul 21, 2022
HargurjeetTraining Convolutional Neural Network(ConvNet/CNN) on GPU From ScratchDataset — CIFAR 10 (acc > 75%)May 22, 2021
