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Deep Learning for Cryptocurrency Trading

A new potential use case of deep learning is the use of it to develop a Cryptocurrency Trader Sentiment Detector. I am currently developing a Sentiment Analyzer on News Headlines, Reddit posts, and Twitter posts by utilizing Recursive Neural Tensor Networks (RNTN) to provide insight into the overall trader sentiment.
Authored by Tejeswar T. Last updated on 05/08/2019 - 15:30
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Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
Authored by Kocot, Szymon Last updated on 03/26/2019 - 16:20
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Binary Neural Networks

In this article we delve into the theory, training procedure, and performance of binary neural networks (BNNs).
Authored by Yash Akhauri Last updated on 05/08/2019 - 15:30
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Neural Style Transfer on Audio Signals

This article shows how to extend and modify an algorithm for audio signals using convolutional neural networks.
Authored by Alish Dipani Last updated on 08/15/2019 - 12:50
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Cash Recognition for the Visually Impaired: Part 2

Cash Recognition for the Visually Impaired: A project to make monetary transactions easier for visually impaired Nepalese with machine learning and AI
Authored by Kshitiz Rimal Last updated on 04/29/2019 - 12:14
Article

Cash Recognition for the Visually Impaired: Part 3

Cash Recognition for the Visually Impaired: A project to make monetary transactions easier for visually impaired Nepalese with machine learning and AI
Authored by Kshitiz Rimal Last updated on 04/29/2019 - 12:14
Article

Cash Recognition for the Visually Impaired: Part 1

Cash Recognition for the Visually Impaired: A project to make monetary transactions easier for visually impaired Nepalese with machine learning and AI
Authored by Kshitiz Rimal Last updated on 04/29/2019 - 12:13