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.
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Updated
Jun 22, 2022 - JavaScript
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.
DenseNet Neural Network used for image classification on CIFAR-10 dataset
DenseNet Architecture on CIFAR data
Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos
rate customer reviews
Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API
Convolutional Networks Training and Logits Saving
Workflow designed for training and optimization neural networks
This Repo will have DenseNet Implementation for CIFAR-10.
A Neural Net which can detect the image of digit ranging from 0 to 9
CIFAR-10 classification solved with 90% validation accuracy using DenseNet in 50 epochs
Replicated results from DenseDepth using DenseNet169 in Python.
Chinese Calligraphy Detection
Densely-Connected-Convolutional-Networks
采用深度学习方法进行刀具识别。
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