🚀DenseNet Model by Pytorch
-
Updated
Nov 15, 2023 - Python
🚀DenseNet Model by Pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
Transfer Learning on my butterfly images using PyTorch
A deep learning, image classifying project for flower species using PyTorch and Jupyter Notebooks
In this project, an image classifier is trained to recognize different species of flowers
PyTorch challange at Udacity - flower classifier
Code that can be used for training a neural network model to detect faults (sticky notes, folded corners etc.) in input documents.
Code that can be used for training a neural network model to classify input documents into distinct classes.
Final Project of the Udacity AI Programming with Python Nanodegree
DenseNet on CIFAR10 dataset
Using Densenet121 & Adam Optimizer on a Jupyter Notebook
An Image Classifier built with PyTorch and Google Colab
API for a machine learning model trained to detect post-it/sticky notes from scanned document images.
Classifies whether an image is of a dog or cat using pre-trained models
Generating attention maps from resnet50 and densenet using ACDC and EMIDEC dataset
Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid accident images
classification on diabetic retinopathy images
Add a description, image, and links to the densenet-pytorch topic page so that developers can more easily learn about it.
To associate your repository with the densenet-pytorch topic, visit your repo's landing page and select "manage topics."