MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
CNN Modeling on Fashion MNIST dataset. 80% Accuracy on three epochs.
Simple image classification of Fashion-MNIST dataset using TensorFlow mid level API
Building & Deploying Computer Vision Models
Item Classification with MNIST fashion dataset.
a repo for classifying mnist fashion dataset with cnn on pytorch
A small project to learn the concept behind autoencoders and how they can be used for denoising images without supervised learning
Small projects in image recognition using MobileNet, VGG16, YOLO.
Examples for during the Summer Course ML/AI 101 organised by Codecentric
Classifying images with 93% accuracy.
An online convolutional neural network (CNN) model for classifying fashion items.
Deploying a Neural Network on AWS SageMaker to predict images with the MNIST Fashion dataset.
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