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Examples of Tensorflow Lite on Android
Pytorch Framework learning for deeplearning
Deeplearning for Java.Build multi-layer perceptron neural network with JAVA.Identify the MNIST handwritten digital datasets.The accuracy rate is around 80%
I've worked on a research project implementing Double Convolution Neural Network using, lasagne, theano, Caffe, and Matlab using PYTHON.
cifar 10 dataset and minist dataset
Creating models for MINST database: NN and CNN
This code is an implementation of the Wasserstein GAN (WGAN) algorithm for generating handwritten digits. The WGAN algorithm was introduced as a way to address the problem of training instability in the original GAN algorithm.
Neural Networks in C++17
Модуль 8. Глибоке навчання. Tensorflow.
Training an Auto encoder on mnist digits to exclude non-mnist digits form the database
Simple Machine Learning Projects done for a Data Science Course
An Artificial Neural Network for image classification (hand written numbers from MINST dataset).
Recognises handwritten digit
From kaggle learning competition MINST digit recognition.
Classification of handwritten digits using MINST dataset
ML-workshop
We will develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features. Thus, this is a 10-class classification problem.
Handwritten Digit Recognition Using 3-Layer ANN
A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.
A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.
This repository contains code related to the MINST dataset, which is a large database of handwritten digits commonly used for training various image processing systems.
MINST Full Implementation-With TensorFlow.js API