This is my take on the Wine Quality Dataset. (Multi Label problem)

This repository contains application of functional api and sequential api for the hello world dataset in computer vision

Tensorflow 2: for Deep Learning Specialization | Imperial College London

Streamlit Demo of CIFAR10 Data Classifiers

Functional API

Git repository for the following video: https://www.youtube.com/watch?v=qj4NHdX2wfI&feature=youtu.be

Convolutional Neural Network project for sign language detection.

TensorFlow: Advanced Techniques Specialization by Laurence Moroney, and Eddy Shyu in Coursera by DeapLearning.AI

Age and Gender prediction from facial images using VGG16 and the Keras Functional API.

Design Deep Learning Models

Predict whether a DonorsChoose.org project proposal submitted by a teacher will be approved.

I showcase that I have broad set of skills regarding machine learning algorithms since I use Logistic Regression, XGBoost and Neural Networks in this project. Especially that I have a good understanding regarding neural networks and the Keras library.

Keras functional api on DonorsChoose dataset.

Artificial Neural Networks with R using keras, neuralnet and functional API.

Prediction of acute inflammations of urinary bladder and acute nephritises using UCI Acute Inflammations Data Set.

Digital Image Processing Course | Home Works Design| Fall 2021 | Dr. MohammadReza Mohammadi

This deep learning project focuses on building a robust air quality classifier from photos using two different deep learning architectures.

Neural Network to estimate wine's quality and its type

The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.

RNN and CNN based Relation Extraction models in tensorflow 2.0