It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.

Neural Network that is able to translate any sign language into text.

Deep learning examples with Python and Tensorflow & Keras.

General purpose machine learning crate

Intro to tenserflow for deep learning Course with udacity

Unveiling the Layers: Neural Networks from first principles

Este repositorio estará basado en la explicación paso a paso en el uso de TensorFlow, Google Colab, y Python en los entrenamientos de Machine Learning para luego usar a través de HTML y JSON los modelos aprendidos por una red neuronal.

In this repository I have build three neural network architectures to accurately classify water bottle brands from a custom image dataset.

A complete convolutional neural network implemented from scratch

Parkinson Disease Prediction using SVM Model followed by Deployment of Model as an WebApp using Heroku

Lightweight neural network library for running compiled models on embedded systems

This project is built to help read and interprete sign languages of India. We are using an LSTM model as base

Deep learning application for real-time handwriting prediction using Convolutional Neural Network. 98% accuracy rate with 5 training epochs.

Hyperspectral Image Denoising using Attention and Adjacent Features Extraction Hybrid Dense Network

Detecting weather a given image of an X-ray scan of lungs has pneumonia or not using convolutional neural networks and deep learning.

From-scratch machine learning models with implementation tutorials.

- Project using Deep Learning libraries to classify customer churn

Dicoding Submission for Advanced ML Certification

Artificial neural networks coded in c++.