2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

Lab Sessions of the Deep Learning course - Master's degree in Artificial Intelligence at UniBo

A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.

Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting

Neural Network aided diagnosis of Schizophrenia via patient-centered text Data

Keras Convolutianl Networks

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

Using Keras to build a deep neural network for bladder cancer progression

Pyhton projects on various topics

Extensive Vision AI Program from The School Of AI

Distinguish bees from wasps

Simple convolutional neural network (purely numpy) to classify the original MNIST dataset. My first project with a convnet. 🖼

The number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment.

Predict the likelihood of a student dropping out of school

Can we get the same accuracy for Tamil as English?

Contains python code on how to improve performance of DNN, regularization, hyper parameter tuning & usage of DNN frameworks like tensorflow for multi class classification problems