Topic: "keras-neural-network"
joaopauloschuler/k-neural-api
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
Language: Python - Size: 15.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 130 - Forks: 110
joaopauloschuler/two-branch-plant-disease
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
Language: Jupyter Notebook - Size: 738 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 4
joaopauloschuler/kEffNetV1
This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".
Language: Jupyter Notebook - Size: 131 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1
Lbp2563/Glasses-Detection-from-Human-Face-Images
This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.
Language: Jupyter Notebook - Size: 9.56 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
iadiboy/Diabet
A diabetes prediction webapp
Language: HTML - Size: 785 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Rittikasur/Customer-Churn-prediction-using-Simple-ANN
Customer churn prediction is to measure why customers are leaving a business. We will build a deep learning model to predict the churn.
Language: Jupyter Notebook - Size: 268 KB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
cknotz/covid_mlearn_python
Using machine learning methods to predict COVID-19 diagnoses in the Swiss population.
Language: Python - Size: 115 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
jcserv/InsurApp
An android app allowing users to log their assets and recommend micro insurance policies based on value, using image recognition and machine learning. This project was created at HackThe6ix 2019, by Bob Bao, Hao Cong Su, Michael Dai, and Jarrod Servilla. Credits to Bob Bao for the detailed README, including the demo. The backend can be found here: https://github.com/Piceptron/MicroinsuranceRecommender
Language: Java - Size: 75.9 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1
