mnist-dataset topic
CVAE-AnomalyDetection-PyTorch
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
GANomaly-PyTorch
Implementation of GANomaly with MNIST dataset
MNIST-Machine-Learning
Machine Learning MNIST Digits with a Neural Network in Excel
MemAE-TF2
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
Deep-Learning-in-R-using-Keras-and-Tensorflow-
Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition
Digit_Recognition_Web_App
A Hand Written Digit Recognition app trained on the MNIST dataset of Keras using the CNN model. skills used are Tensorflow, HTML,CSS,javascript.
MNIST-cnn
Convolutional neural networks with Python 3
tf-lcnn
Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs
MNIST
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
mnist
Pytorch mnist example