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Joseph Otoo's Projects

custom-maxout-activation-implementation icon custom-maxout-activation-implementation

๐Ÿ’กImplementing a custom Maxout network from scratch (as an extension of nn.Module in Pytorch) and testing model performance on MNIST in comparison to ReLU networks to determine whether Maxout's more complex function approximations can provide higher accuracies in real-world use cases.

dl-workshop-series icon dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

dlfs_code icon dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

fetal-health-prediction icon fetal-health-prediction

In this work, machine learning was used for the prediction of fetal health to prevent child and maternal mortality.

flutter-ecommerce icon flutter-ecommerce

A small attempt to make an e-commerce user interface in Flutter for Android and iOS.

how-to-enter-your-first-zindi-competition icon how-to-enter-your-first-zindi-competition

Zindi Africa is the largest data science competition platform that solves African's biggest challenges using Artificial Intelligence and Machine Learning.This is an example on how to enter your first zindi hackathon and upload your solution.

jekyll-now icon jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

ml-youtube-courses icon ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

multiclass-image-classification-torchvision-pytorch icon multiclass-image-classification-torchvision-pytorch

This project uses a deep learning model to classify fashion items from images in the Fashion-MNIST dataset. It employs a fully connected neural network with two hidden layers, trained using stochastic gradient descent and a cross-entropy loss function. The model achieves 87% accuracy on the test set.

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