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.

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

A complete convolutional neural network implemented from scratch

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

From-scratch machine learning models with implementation tutorials.

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

- Project using Deep Learning libraries to classify customer churn

Dense neural network that predicts animal adoption rates, w/ accuracy up to 87%

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

Dicoding Submission for Advanced ML Certification