DenseNet Neural Network used for image classification on CIFAR-10 dataset

Bu proje, yaprak görüntülerini kullanarak Bangladeş'teki tıbbi bitki türlerini tanımlamak için Evrişimli Sinir Ağlarının (CNN'ler) uygulanmasına odaklanmaktadır. Özel bir CNN modeli ve VGG, Inception ve DenseNet gibi birkaç model ile çalışmamızı yaptık.

CIFAR-10 classification solved with 90% validation accuracy using DenseNet in 50 epochs

DenseNet Architecture on CIFAR data

Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API

This Repo will have DenseNet Implementation for CIFAR-10.

Convolutional Networks Training and Logits Saving

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