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.

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

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

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This Repo will have DenseNet Implementation for CIFAR-10.

Convolutional Networks Training and Logits Saving

A Web Application that predicts the presence of Pneumonia from X-Ray Images using a DenseNet Neural Network model. Tech Stack: React as frontend , Python Flask as backend and Mongo DB.

Replicated results from DenseDepth using DenseNet169 in Python.

A Neural Net which can detect the image of digit ranging from 0 to 9

Workflow designed for training and optimization neural networks

Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos

Chinese Calligraphy Detection

Densely-Connected-Convolutional-Networks

My solution for Quick, Draw! Doodle Recognition Challenge from Google using Keras DenseNet 121

DenseNet MURA