cifar-10-cnn and CIFAR10-img-classification-tensorflow

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 24/25
Stars: 839
Forks: 288
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 142
Forks: 113
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About cifar-10-cnn

BIGBALLON/cifar-10-cnn

Play deep learning with CIFAR datasets

This project provides pre-implemented convolutional neural network (CNN) architectures for classifying small, everyday images like those found in the CIFAR-10 dataset. It takes in image data and outputs predicted categories, demonstrating how different advanced CNN models perform on image recognition tasks. This is ideal for machine learning practitioners and researchers exploring different CNN designs and their effectiveness.

image-classification deep-learning-research computer-vision neural-network-benchmarking

About CIFAR10-img-classification-tensorflow

deep-diver/CIFAR10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

This project helps machine learning practitioners learn how to build and train a convolutional neural network for image classification. It takes a collection of small color images (like those in the CIFAR-10 dataset, depicting objects such as airplanes, cats, and dogs) and outputs a trained model capable of identifying the primary object in new images. It's designed for someone learning deep learning for computer vision tasks.

deep-learning-education image-classification computer-vision neural-networks tensorflow-learning

Scores updated daily from GitHub, PyPI, and npm data. How scores work