Week Six – Problems in Paradise

This week’s main goal was to collect 100,000 audio samples with Bruce (our makeshift echo locator bat) and work on the neural network in hopes of getting some decisive results. Sadly, but humorously, we managed to run into every single possible problem before we even got to training and testing the neural net. One of … Continue reading Week Six – Problems in Paradise

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Week Three – Deep Learning and Possible Research Project

This week I finished looking into deep learning and started thinking about possible ideas for my research project.   3D Depth Representation through Deep Learning Stereo Matching Dr. Sprague came up with the idea of trying to incorporate the output generated by OpenCV into a CNN together with the original stereo images in order to … Continue reading Week Three – Deep Learning and Possible Research Project

Week Two – Multi-Layer Networks and NumPy

For the second week, I continued to study neural networks, moving on to multi-layer and sigmoid classification. I looked at algorithms for MLPs and different output activation functions such as the soft-max function, as well as how that will change the error handling. Further I focused on the differences between sequential and batch training, and … Continue reading Week Two – Multi-Layer Networks and NumPy

Week One – Introduction to Machine Learning and Neural Networks

I am excited to be taking part in my very first research and learn more about a topic I find much interest in. With Dr. Sprague’s help, I managed to get down some basic concepts of machine learning and neural networks. I had no prior knowledge of the topic, so I was curious about the … Continue reading Week One – Introduction to Machine Learning and Neural Networks