deep learning
Projects with this topic
-
collision risk assessment network implementation in tensorflow
Updated -
Experiments regarding Artificial Neural Network's modularization. Main Hypothesis is that modularization helps to reduce training time and the amount of training data required. Furthermore, it can also help generalization and lead to better results.
Updated -
Laboratory to quickly run supervised learning experiments with PyTorch.
Updated -
Code used for producing results presented in the article "Signal mixture estimation for degenerate heavy Higgses using a deep neural network", published in I. Eur. Phys. J. C (2018) 78: 1010
Updated -
Using AWS Machine Learning services and Apache MXNet on a Raspberry Pi.
Code for the Johnny Pi series of posts on Medium https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36
Updated -
The goal of this project is to familiarize myself with Keras and understand how it's different from Tensorflow. Alongside I'll look into creating infrastructure for visualizing the network and monitor learning.
Updated