Using reinforcement learning techniques to train a flying quadcopter
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Updated
Dec 18, 2019 - HTML
Using reinforcement learning techniques to train a flying quadcopter
Image classification with custom CNN and Flask API
NLP and Computer Vision project
Convolutional Neural Networks Project to identify breed of dogs
Aplikasi CBIR untuk pengenalan Mobil
A web app that uses machine learning to predict if a person is suffering from depression given the symptoms.
A deep learning predictive model to perform churn analysis in the banking industry using Artificial Neural Network.
FER(Facial Expression Recognition) frontend
Sentiment Analysis on Twitter US Airline Dataset using keras-tensorflow
AutoEncoder model for finding N similar images to a given input image and partitioning the entire image dataset into K groups.
TuneGen is a web application that recommends Spotify playlists by analyzing the user's emotions in real-time through facial recognition and emotion detection.
Simple RNN to translate from french to english
HexDoc is an AI-powered chatbot that helps users manage stress by offering personalized exercises, motivational quotes, and mental health resources. It uses NLP techniques and TensorFlow-based neural networks to understand and respond to user inputs.
A repository of data science projects i have worked on.
Created a pipeline to classify traffic sign images based on the German Traffic Sign dataset. Performed the exploration & visualization of the data; Designed, trained and tested the model architecture and Used the model to predict softmax probabilities of the new images.
This repository consists of all the assignments i have done as a part of the neural networks lab which was a part of my curriculum.
Create a Convolutional Neural Network using TensorFlow.
IA Sample Dog or Cat
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