Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
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Updated
Jul 1, 2019 - TeX
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.
🎓 📜 This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.
Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations
Research internship - Image segmentation by superpixels based on PyTorch
Code and Manuscript for the ECCV 4th Workshop on Computer Vision for Art Analysis "Deep Transfer Learning for Art Classification Problems" paper.
Project Title: Using Machine Learning to Understand the Topology of Knots. This repository contains my Project Log and Code.
Deep learning for pedestrians: backpropagation in CNNs. Latex and PyTorch code to verify theoretical derivations.
Tool to plot the scematics of an convolutional/dense architecture of a neural network in Tikz
Master thesis in Incomplete time-series classification methods
Doctoral thesis Ondrej Pesek
LaTeX Bachelor's Thesis
MPhil Project at QUT: Convolutional Neural Networks and Volcano Plots: Screening and Prediction of Two-Dimensional Single-Atom Catalysts
This repository will contain my studies and codes for predicting traffic.
presentation on [Dynamic Routing Between Capsules](https://arxiv.org/abs/1710.09829) for [Pattern Recognition and Computer Vision Reading Group](http://cmp.felk.cvut.cz/~toliageo/rg/index.html)
Files regarding the matura thesis (2019) of Luis Wirth at the Gymnasium Oberwil
Solution to the labs of the Deep Learning course of the MSc in Artificial Intelligence at the University of Amsterdam
A web application for generating music that sounds like the Grateful Dead.
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