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Search results for neural mnist

211 search results found

Learningwithpython ⭐ 17

Deepnetworks ⭐ 17

My implementations of deep neural networks for practice.

Rust Simple Nn ⭐ 17

Simple neural network implementation in Rust

Binary Neural Network Keras ⭐ 17

A Keras code on Binary Neural Networks

Mnist Cnn ⭐ 16

Convolutional neural networks with Python 3

Python Tensorflow Webapp ⭐ 16

Emerging Technologies Project - 4th Year 2017

Best Mnist Classification Ever Seen Without Any Difficult Tricks ⭐ 15

Classification of MNIST digits by convolutional neural networks and then extracting features. After that I tune the to classes labels using simple neural network The code is written using Keras deep learning library. Got Accuracy: %99.82 error rate 0.18

Straightforwardneuralnetwork ⭐ 15

A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.

Mnist 1lnn ⭐ 14

A simple 1-layer neural network to recognize handwritten single digit numbers from the MNIST image files.

A direct Convolution Neural Network implementation in pure C++， with MNIST dataset.

Introduction To Neural Networks ⭐ 13

Handwritten Digit Recognition ⭐ 13

Handwritten digit recognition using neural network trained on 60000 images from MNIST dataset

Grokkingdeeplearning ⭐ 13

This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.

Tensorbreak ⭐ 13

텐서플로우 뽀개기 - python 코드를 R로 변경하기

Sparse_autoencoder ⭐ 13

Implementing sparse autoencoder for MNIST data classification using keras and tensorflow

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Bayesianneuralnets ⭐ 13

Bayesian neural networks in PyTorch

Handwritten Digit Recognition Mnist ⭐ 12

Handwritten Digit Recognition using Convolutional Neural Networks in Python with Keras on live camera

Deepstats ⭐ 12

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

Tensorflow_example_code_ Aymericdamien ⭐ 12

Mnist Neural Network Classifier ⭐ 12

A trained neural network built from scratch to classify clothes and digits from the MNIST dataset

Simpleai ⭐ 12

A simple yet powerful C++17 implementation of deep neural networks from scratch.

Introduction_to_deep_learning ⭐ 12

Introduction to Deep Learning with theory and coding examples

M5stack Neural Network ⭐ 11

handwritten digits recognition by M5Stack

Learning Class Invariant Features ⭐ 11

Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".

Autoencoder ⭐ 11

An autoencoder using a convolutional neural network with Tensorflow

Neural Network Mnist ⭐ 11

A preliminary effort for https://github.com/fumin/ntm

Neural Networks ⭐ 11

A basic tutorial on Neural Networks

Deep Feedfoward Neural Network ⭐ 11

This project is a simple neural network maden in javascript as known as MLP(Multilayer Perceptron) also.

Mnist Dnn ⭐ 11

Deep neural network for handling MNIST image recognition

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Collection of Machine Learning Algorithms

C++ Deep Learning Framework

Deepneuralnetwork ⭐ 10

Deep neural network implemented in Java from scratch, without using library/framework.

Facedetector ⭐ 10

Face Detection Based on Convolutional Neural Network

Deep_learning_lecture ⭐ 10

Deep learning lecture

Fashion Mnist Cnn Keras ⭐ 10

Zalando's article images Recognition using Convolutional Neural Networks in Python with Keras.

Cnn Numpy ⭐ 10

Experiments with implementing a CNN in numpy.

Mnist Tensorflow ⭐ 10

Using Neural Networks to deal with MNIST data

Mnist Machine Learning ⭐ 10

Machine Learning MNIST Digits with a Neural Network in Excel

S4tf Notebooks ⭐ 10

Notebooks demonstrating Swift for TensorFlow projects

Deepdomainadaptation ⭐ 10

Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)

Digitclassifier ⭐ 10

A Convolutional Deep Neural Network Using Theano for MNIST (0.6% Error)

Machine.academy ⭐ 10

Neural Network training library in C# with GPU acceleration

Spikingtorch ⭐ 9

A pytorch implementation of spiking neural networks and backpropagation through spikes

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

Mnist Neural Network ⭐ 9

Simple Python neural network for handwritten digits classification in pure Numpy

Machinelearning_dwarka_2018 ⭐ 9

Tensorflow Getting Started ⭐ 9

Tensorflow Quick Introduction

Master Project ⭐ 9

Towards Distortion-Predictable Embedding of Neural Networks

Mnist Handwritten Digit Recognition ⭐ 9

Classification of MNIST Handwritten Digits Database using Deep Learning

Machine Learning Mnist Dataset ⭐ 9

A machine learning project that uses a neural network to recognise human digits.

Digit Recognition ⭐ 8

Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set

Generating new images of faces on the celebA dataset with generative adversarial networks

Neuralnetwork ⭐ 8

Small implementation of a neural network in Python

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

Mnist 3lnn ⭐ 8

Simple 3-layer feed-forward neural network using back-propagation to recognize MNIST digits

A layer-wise algorithm for learning Convolutional Neural Networks

Mnist Nn Example ⭐ 8

Neural Network Example using MNIST Data Set

Tensorflow Mnist ⭐ 8

A Jupyter notebook for setting up a single layer neural network with TensorFlow on the MNIST dataset

Convolutional neural networks written by C++

Mnist Handwritten Digit Recognition ⭐ 8

Keras Fully Connected Neural Network using Python for Digit Recognition

Neural Ode Features ⭐ 8

Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples

Neural Ode ⭐ 7

Keras_mnist ⭐ 7

Train a Keras MNIST model for Movidius NCSDK2

Digit Recognition ⭐ 7

The purpose of this project is to take handwritten digits as input, process the digits, train the neural network algorithm with the processed data, to recognize the pattern and successfully identify the test digits. The popular MNIST dataset is used for the training and testing purposes. The IDE used is MATLAB

Ucl Deep Learning Reading Group ⭐ 7

Smart and distributed hyperparameter/architecture search for Neural nets and more [wip]

Spp Public ⭐ 7

A Signal Propagation Perspective for Pruning Neural Networks at Initialization

Deep Neural Network written in Clojure from scratch

Domain Adversarial Neural Network ⭐ 7

Implementation of Domain Adversarial Neural Network in Tensorflow

Data Science Ipython Notebooks ⭐ 7

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

🐾 Akira is a C library for Neural Networks.

Reludiff Icse2020 Artifact ⭐ 7

Artifact of the ICSE 2020 paper: "ReluDiff: Differential Verification of Deep Neural Networks"

Neural_network_from_scratch ⭐ 7

Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法，识别MNIST

Go Neural Network ⭐ 7

Modifiable neural network

Improved implementation of Tariq Rashid's "Make Your Own Neural Network"

Lasagne_mnist ⭐ 7

Convolution Neural Network written in Theano/Lasagne for MNIST

Graduation Design ⭐ 7

基于剪枝的神经网络压缩与加速

Numpy_cnn ⭐ 7

Implement Neural Network only with Numpy

B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks

a simple neural network

Tensorflow Startup Tutorials ⭐ 6

It is a start up tutorial for tensorflow.

Plutonotebooks ⭐ 6

Random Pluto notebooks in Julia

Domain Adaptation ⭐ 6

Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets.

Mnist Web Sketch ⭐ 6

MNIST web sketch - digit recognition

Lipschitzrnn ⭐ 6

Lipschitz Recurrent Neural Networks

Ml_dwarka_june19 ⭐ 6

Adam Analysis Tensorflow ⭐ 6

This repository analyzes the performance of Adam optimizer while comparing with others.

Scale Invariant Cnns ⭐ 6

Study the Scale Invariance or Equivariance Convolutional Neural Network

Kaggle Mnist Solution ⭐ 6

Building conv neural nets using theano and lasagne.

C++ neural networks with Eigen

Evolutionary Strategies for Training Neural Networks

Mnist_distilling_john ⭐ 6

reproduce 《Distilling the Knowledge in a Neural Network》

Deep_learning_101 ⭐ 6

Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.

Neural_nets_gpus ⭐ 5

Repository for Strange Loop talk demonstrating how to run Neural Nets on GPUs

Overcoming Catastrophic ⭐ 5

Implementation of "Overcoming catastrophic forgetting in neural networks" in Keras

Generating distributions of neural networks

Neuralnet_onimagej ⭐ 5

handwriting number recognition on ImageJ

Evolutionary_neural_network Stop ⭐ 5

Using evolutionary algorithm to search for a great neural network architecture.

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