Category: Github Projects

Computer VisionDeep LearningGithub Projects
January 5, 2020 Post a Comment

Conv Nets IV

In this project, I extend my CNN Advanced Architecture project to 3D images. The architecture is advanced in the sense that it is flexible and can read & build its architecture from JSON files. The 3D extension allows CNN3D classifier to tackle 3D tensors used heavily in scientific/medical imaging such as CT Scan images, which we will we working with in this repo. I have trained the LUNA16 dataset with the usual my CNN and then with CNN3D classes and noted that CNN3D outperfromed the predictions for...

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Computer VisionDeep LearningGithub Projects
November 27, 2018 Post a Comment

Conv Nets II

In this project we automate learning CNN hyper-params. We test and improve my previous tensorflow implementation of CNN in here on Kaggle's facial expression dataset. Here I only deal with two label classes: Happy and Angry. Randomized Search for learning hyper_paramters such as learning_rate, momentum coefficient, etc and drop-out regularizer improved the default test prediction accuracy from 36% to 64%. This is a bit lower than 72% that we got from our SVM classifier. However, we will continue in following projects to see if we can beat...

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Classical MLGithub ProjectsMachine Learning
September 18, 2018 Post a Comment

Gaussian Mixture Models

In this project we explore the Gaussian Mixture models. GMMs are universal approximators. This means that any probability density can be approximated to arbitrary precision using mixture of gaussian densities. We saw a glimpse of it in our Hypothesis Testing II project. GMMs are go-to models for unsupervised learning schemes and one of my favorite ML models. In fact, they utilize (usually) EM algorithm, which is an iterative method of estimating statistical parameters similar to and I belive, on par with, backpropagations in Neural nets. In this...

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Computer VisionDeep LearningGithub Projects
September 14, 2018 Post a Comment

Conv Nets I

This project implements CNN class using the tensorflow library. I compare the accuracies gained by the ConvPool layers to the ANN architectures of the ANN-tensorflow repo. We find that adding only 2 ConvPool layers before the ANN architecture does automated feature engineering and significantly increases the classification accuracies as compared to the ANN only architectures....

Computer VisionGithub Projects
August 14, 2018 Post a Comment

Image Restoration

This project tackles image restoration and coloring for old damaged black and white images. The restoration problem tackels automatic damaged region detection which turns out to be a hard problem to automate. The successful resotrations still require some form of tweaking the Kernel parameters (dilate/erode/color threshold, etc.) in the code. The coloring portion Opencv DNN based Caffe framework to colorize black and white images. One can find the Caffe models here...