miniflow is a deep learning framework built from scratch using Python and NumPy, mimicking the TensorFlow API format.
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Updated
Aug 28, 2024 - Python
miniflow is a deep learning framework built from scratch using Python and NumPy, mimicking the TensorFlow API format.
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.
CNN trained on the MNIST dataset
Модуль 8. Глибоке навчання. Tensorflow.
Handwritten Digit Recognition Using 3-Layer ANN
An Artificial Neural Network for image classification (hand written numbers from MINST dataset).
Deeplearning for Java.Build multi-layer perceptron neural network with JAVA.Identify the MNIST handwritten digital datasets.The accuracy rate is around 80%
Simple Machine Learning Projects done for a Data Science Course
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.
cifar 10 dataset and minist dataset
Examples of Tensorflow Lite on Android
A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.
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