Simple integration of keras-tuner (hyperparameter tuning) and tensorboard dashboard (interactive visualization).
-
Updated
Nov 24, 2020 - Python
Simple integration of keras-tuner (hyperparameter tuning) and tensorboard dashboard (interactive visualization).
Extension for keras tuner that adds a set of classes to implement cross validation techniques.
This repository contains demo implementations for using keras tuner to tune hyperparameters of models in keras and scikitlearn. Additionally, it includes how to generate the visualization in Tensorboard.
Different models for comparison of 3D skeleton data for pose identification
24-hour air quality forecasting with LSTM, GRU, and Conv1D - Keras Tuner Hyperband search on Israeli monitoring station data
TensorFlow/Keras transfer-learning image classifier (TF Flowers): MobileNetV2 + KerasTuner HPO, Grad-CAM, SavedModel + TFLite export, FastAPI serving. Test acc 0.90.
Hyperparameter tuning for CNN models on Fashion MNIST using KerasTuner. Includes random search and Bayesian optimization strategies to improve performance and training efficiency.
training, evaluation and api for forest-cover dataset
Real-time facial emotion detection using OpenCV & DeepFace. Detects 7 emotions (happy, sad, angry, fear, surprise, disgust, neutral) from live webcam feed. Easy setup with pip install. Perfect for computer vision learning & emotion-aware applications.
My project for two advanced training courses about machine learning and neural networks at educx (https://educx.de/).
Deep Learning System for Malaria Detection Using CNNs and Computer Vision Techniques
Add a description, image, and links to the keras-tuner topic page so that developers can more easily learn about it.
To associate your repository with the keras-tuner topic, visit your repo's landing page and select "manage topics."