Convolutional Neural Networks for classification with the SVHN dataset.
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Updated
Jun 16, 2021 - Jupyter Notebook
Convolutional Neural Networks for classification with the SVHN dataset.
Neural Networks for the Street View House Numbers dataset
Machine Learning Final Project on SVHN dataset
Training using an alternative approach: forward-thinking
Example of how to get data from SVHN dataset and visualize it.
The author's officially PyTorch Channel-Fusion implementation.
Image Classification using Neural Networks
GUI for training an ML-algorithm (TensorFlow) with the SVHN-dataset.
Uno Card detection system with Image processing and convolutional neural network on SVHN DATASET
Implement a DCGAN on the Street View House Numbers (SVHN) dataset.
Detecting single digits in 32x32 images from Format 2 The Street View House Numbers (SVHN).
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
This project includes the classification of Google's Street View House Number (SVHN) using conventional CNN model and VGG16 model.
Street View House Number image classification using fully connected neural network
Domain Adaptation / Transfer Learning in popular datasets (MNIST, SVHN, USPS)
Python experiments for https://arxiv.org/abs/1904.12286.
Comparative Study of Differential Privacy on MNIST, SVHN and CIFAR-10 datasets
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