ethanhe42/resnet-imagenet-caffe
train resnet on imagenet from scratch with caffe
This project helps machine learning engineers and researchers train ResNet models for image classification. It takes ImageNet dataset inputs and produces trained ResNet models, offering a foundation for developing computer vision applications. The target user is someone familiar with deep learning frameworks and large-scale image datasets.
113 stars. No commits in the last 6 months.
Use this if you need to train a ResNet model from scratch on the ImageNet dataset using the Caffe deep learning framework.
Not ideal if you are looking for a pre-trained model for immediate use or are not familiar with Caffe and its ecosystem.
Stars
113
Forks
155
Language
Shell
License
MIT
Category
Last pushed
May 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ethanhe42/resnet-imagenet-caffe"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow.
matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...