Pure python implementation of SNN
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Updated
Jul 29, 2022 - Python
Pure python implementation of SNN
Handwritten Digit Recognition using Machine Learning and Deep Learning
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Pytorch mnist example
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
Digit Classifier trained on MNIST and tested using webcam.
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
TensorFlow implementation of "ResNeSt: Split-Attention Networks"
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Implementation of LeNet-5 with keras
A TensorFlow implementation of Capsule Network as described in the paper Dynamic Routing Between Capsules
MNIST classification in Tensorflow using Django
Evaluation of fashion-MNIST with a simple cnn
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