Recycle your plastic better with Artificial Intelligence ♻️
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Updated
May 31, 2023 - PureBasic
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Recycle your plastic better with Artificial Intelligence ♻️
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.
Implementation of openpose with tensorflow & openCV for estimation of human poses & classification.
Simple machine learning in Python/Tensorflow with model saving
Real time Human Pose estimation using Tensorflow and OpenCV
Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.
CS50 final project - webapp to train neural network
Monte Carlo Tree Search (MCTS) combined with Reinforcement Learning (RL) and Deep Learning (DL) to play the board game Hex
🔥A style-image iOS project based on tensorflow.(基于Tensorflow的iOS图像处理工程,效果类似Primsa。)
This RNN based model predicts movies popularity based on users reviews and scores on Imdb.com and creates an HTML file with relevant statistics.
Fully connected number recognition neural network
An example of using Tensorflow run MNIST model on iOS.
The Shakespeare Poetry Generator is a neural network-based Python project that uses TensorFlow and Keras to generate text in the style of William Shakespeare. It employs character-level prediction to create new, stylistically similar content based on a trained subset of Shakespeare's works.
A rust crate to convert grayscale images to rgb images.
An app to detect and classify plant disease
Tensorflow implementation of a lightweight people counting CNN
PPR - Portrait Painting Recommendation System - Using Deep Learning (MobileNet Model, Wikiart dataset)
By following the tutorial on TensorFlow , I generated a text using a character-based Recurrent Neural Networks. Dataset is based on Shakespeare's writing. Given a sequence of characters from the data, a LSTM-based model is trained to predict the next character in the sequence.
Created by Google Brain Team
Released November 9, 2015