I'm a software developer interested in machine learning with focus on deep learning for computer vision.Am always passionate about using technology specifically Machine learning to solve real-world problem. My professional Interest is to design, build and deploy Machine Learning applications in constrained devices like smart-phones and embedded machine.
Intelligent RMS for secondary schools
An application which enables ordinary level secondary school students to perfom chemestry experiments in a virtual enviroment.
Intelligent app for image auto crop and Compression.It is used to generate entry forms for the National Examination Council of Tanzania.
Students drop-out rates is one of the challenges faced by many schools globally.Addressing this problem requires a better planning for interventions and a more thorough understanding of the fundamental issues that cause the problem. Machine learning provides a convenient way to accurately identify and prioritize students and schools at risk and thus deliver good guarantees for the solutions.
Money has become an inseparable aspect of human life. It can be used for making payments of various services such as buying food, transportation, health care and many more. Despite the enormous use of cash in our daily life, recognition of the banknotes is still a big challenge for visually impaired people. Deep learning techniques offers both cost effective and scalable ways for image recognition. Using a dataset of banknote images, I have applied transfer learning to retrain a deep convolution neural network to identify five types of Tanzanian banknotes (500, 1000, 2000, 5000, 10000). The robustness and generalizability of the proposed model are evaluated on a dataset with Tanzanian banknotes collected under a variety of conditions.
Having a solid foundation in machine learning (ML) by implementing core concepts from scratch such as backpropagation algorithm (for NNs, CNNs and RNNs) is important. Take the time to understand its derivations, and try to derive it yourself from scratch and also implement it from scratch in code and see if you can make it work. The knowledge you gain will stick and will be independent of any framework you decide to learn later. In this article I present to you my simple implementation of a two layer NN in pure java.
I like spectacular graphics provided by the JavaFX API, so I thought it could be nice to find a way I can invoke a trained Deep Learning model from Java.
Simple steps to understanding the redux architecture by implementing a todo app.
Google Developer Group (GDG) Dar es Salaam is a community for developers who are interested in Google's technology. GDG Events include large gatherings with demos and tech talks, code sprints and hackathons.
