chenmingxiang110/AugNet
In our work, we propose AugNet, a new deep learning training paradigm to learn image features from a collection of unlabeled pictures.

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AugNet 🌿

In our work, we propose AugNet, a new deep learning training paradigm to learn image features from a collection of unlabeled pictures.

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All course assignments/code of Deep Learning A-Z: Hands-on Artificial Neural Networks.

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Codes and Templates from the SuperDataScience Course

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Deep Learning Practices

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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

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Using Darkflow, to implement the Yolo algorithm to identify objects in images of the interior of a tunnel created from point cloud data

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intro-to-dl 🌿

Introduction to deep learning

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A resource repository for generation of training data for deep learning.

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This repository contains my projects from the Deep learning A-Z course from superdatascience.com

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Code for paper "Learning to learn from data: using deep adversarial learning to construct optimal statistical procedures"

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A demo of distributed deep learning with TensorFlow and Apache Ignite.

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Materails for Deep learning from Kredo

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A JavaScript library for Bayesisan classification

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Levels of Representation in a Deep Learning Model of Categorization

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The repo for the fast and easy guide to the most popular deep learning framework in the world.

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