2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
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Updated
Feb 28, 2020 - Python
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
Objective here is to explore the concepts of deep learning and implementing it from scratch in a structured way.
This is a report on what are the things that I have learned from the Kaggle course intro to deep learning.
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
Tomato Leaf Disease Detection:Deep Learning Project
Simple convolutional neural network (purely numpy) to classify the original MNIST dataset. My first project with a convnet. 🖼
Used a Multilayer Perceptron (MLP) neural network to detect COVID-19 in lung scans.
Predict the likelihood of a student dropping out of school
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