In our work, we propose AugNet, a new deep learning training paradigm to learn image features from a collection of unlabeled pictures.
All course assignments/code of Deep Learning A-Z: Hands-on Artificial Neural Networks.
Codes and Templates from the SuperDataScience Course
Contains the programming exercises and assignments for Deep Learning A-Z course on Udemy. Includes Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Networks, Self Organizing Maps, Auto Encoders and Boltzmann Machines
Using Darkflow, to implement the Yolo algorithm to identify objects in images of the interior of a tunnel created from point cloud data
A resource repository for generation of training data for deep learning.
This repository contains my projects from the Deep learning A-Z course from superdatascience.com
Code for paper "Learning to learn from data: using deep adversarial learning to construct optimal statistical procedures"
A demo of distributed deep learning with TensorFlow and Apache Ignite.
Levels of Representation in a Deep Learning Model of Categorization
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