High Accuracy ResNet Model under 5 Million parameters.
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Updated
Mar 25, 2022 - Python
High Accuracy ResNet Model under 5 Million parameters.
Templates for transfering dataset images to TFRecords for running tensorflow code. Template for checking TFRecords contents.
CNN Implementation and optimization in comparison to Image-Net Pre-trained on CIFAR-10 Dataset Image Classification
An Image Classification Group Project on the CIFAR-10 dataset
keras_CNN models_with_cifar10
Implement clustering and PCA and apply them to CIFAR-10!
Building CIFAR10 with Keras
things about deep learning
Classification using a Multi-Layer Perceptron neural network from scratch
CNN application on CIFAR-10 dataset using tensorflow
Pytorch implementation of different models
Object Recognition Using All CNN Network
The CIFAR-10 dataset consists of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
This project proposes a neural network architecture Residual Dense Neural Network - ResDen, to dig the optimization ability of neural networks. With enhanced modeling of Resnet and Densenet, this architecture is easier to interpret and less prone to overfitting than traditional fully connected layers or even architectures such as Resnet with hig…
Simple 3 layer CNN for object classification task on CIFAR10 dataset. 87% on test.
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