Fashion Mnist image classification using cross entropy and Triplet loss

Feed Forward Multi-Layer Neural Network implemented in C++ 17, optimized using OpenMP 5.1 and tested on fashion MNIST dataset.

Explainable AI & fashion talk & experiments

Train and Inference on Fashion Mnist dataset using TensorFlowJS

image classification and manipulation in python machine learning on fashion mnist dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average…

Clustering of Fashion MNIST Dataset with Using PCA for dimension reduction and K-means for clustering

How to perform distributed training on Amazon SageMaker using SageMaker's Distributed Data Parallel library and debug using Amazon SageMaker Debugger.

How to perform training on Amazon SageMaker using SageMaker's script mode and debug using Amazon SageMaker Debugger.

testing Deep Neural Network accuracy on MNIST Clothing dataset

Demos for training different CNNs on the Fashion-MNIST dataset

In this work, author trained a CNN classifier using Keras and TensorFlow backend for prediction of fashion-items in Fashion MNIST dataset, achieving an accuracy of 92.5%.

explains how to build Convolutional Neural Network(CNN) for Fashion MNIST project which is an Image Recognition Clothing Prediction Web App which we are going to build using Convolutional Neural Network and Flask App. This is a complete project tutorial series where we are going to learn how to train the CNN model on Fashion MNIST greyscale Imag…

Repository consists of pre-trained CNN model in pytorch, hitting 89% on Fashion MNIST dataset. Adversarial attack was implemented on a given model. Results are below.

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine …

Contains courses in specializations of coursera on deep learning