An easy to use hyperparameter tuner
-
Updated
Jul 15, 2022 - Python
An easy to use hyperparameter tuner
Build and share data apps in minutes with TeachableHub, Streamlit, and Heroku.
The objective of this project is to carry out supervised image classification on a collection of colored images. It employs a convolutional neural network design and applies data augmentation and transformations to recognize the category of images from a predefined set of 10 classes.
I have created an algorithm similar to FaceNet (not as completely same as FaceNet because of the GPU limitations) , optimized it and used it. This algorithm is tested for only one person but if you want, you can use more than one positive and anchor values to train the network. Dataset: https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
Add a description, image, and links to the tensortflow topic page so that developers can more easily learn about it.
To associate your repository with the tensortflow topic, visit your repo's landing page and select "manage topics."