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
digitStruct.mat file extracted and put into csv. Some errors might be there. if you find one, please report.
Example of how to get data from SVHN dataset and visualize it.
Training using an alternative approach: forward-thinking
Comparative Study of Differential Privacy on MNIST, SVHN and CIFAR-10 datasets
Simple application for digit recognition with CNN using four different datasets
Domain Adaptation With Domain-Adversarial Training of Neural Networks
Image Classification using Neural Networks
GUI for training an ML-algorithm (TensorFlow) with the SVHN-dataset.
Implement a DCGAN on the Street View House Numbers (SVHN) dataset.
Python experiments for https://arxiv.org/abs/1904.12286.
Associative Domain Adaptation
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
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