GeorgeSeif/Transfer-Learning-Suite
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
This tool helps machine learning engineers efficiently train image classification models, even with limited data. You provide a structured dataset of images categorized into different classes, and it outputs a highly accurate model capable of classifying new images. It's ideal for developers and researchers who need to adapt existing, powerful image recognition models for specific tasks.
219 stars. No commits in the last 6 months.
Use this if you need to quickly build a custom image classifier without starting from scratch, leveraging well-known pre-trained models.
Not ideal if you need to perform semantic segmentation or object detection, as this tool is specifically for whole-image classification.
Stars
219
Forks
97
Language
Python
License
—
Category
Last pushed
Dec 04, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/GeorgeSeif/Transfer-Learning-Suite"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
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.
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow