deep neural network - Robuta Search

https://www.mathworks.com/help/deeplearning/ref/dlquantizer.html

dlquantizer - Quantize a deep neural network to 8-bit scaled integer data types - MATLAB

Use the dlquantizer object to reduce the memory requirement of a deep neural network by quantizing weights, biases, and activations to 8-bit scaled integer...

deep neural network quantize bit scaled

https://shahaliyev.org/csci4701/notebooks/05_nn_ngram/

05. Neural Network N-Gram Model - CSCI 4701 Deep Learning

[{'02_backprop': ['This is a notebook from the lecture series dedicated to deep learning. We start from backpropagation, discuss multilayer perceptron,...

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https://arxiv.org/abs/2305.19921

[2305.19921] Deep Neural Network Estimation in Panel Data Models

Abstract page for arXiv paper 2305.19921: Deep Neural Network Estimation in Panel Data Models

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https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2021.655292/full

Frontiers | Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode...

Backgrounds: Reduced brain cortical activity over the frontotemporal regions measured by near infrared spectroscopy (NIRS) has been reported in patients with...

deep neural network brain activity frontiers differentiate patients

https://www.mathworks.com/help/deeplearning/ug/detect-issues-while-training-deep-neural-network.html

Detect Issues During Deep Neural Network Training - MATLAB & Simulink

This example shows how to automatically detect issues while training a deep neural network.

deep neural network detect issues training matlab

https://easychair.org/publications/preprint/Rh1Q

Brain Tumor Classification Using Convolutional Neural Network and Deep Transfer Learning Approach...

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https://www.sri.com/publication/speech-natural-language-pubs/leveraging-deep-neural-network-activation-entropy-to-cope-with-unseen-data-in-speech-recognition/

Leveraging Deep Neural Network Activation Entropy to Cope with Unseen Data in Speech Recognition -...

This work aims to estimate the propagation of such distortion in the form of network activation entropy, which is measured over a short-time running window on...

deep neural network activation entropy leveraging cope unseen

https://deepai.org/publication/adaptive-quantization-for-deep-neural-network

Adaptive Quantization for Deep Neural Network | DeepAI

12/04/17 - In recent years Deep Neural Networks (DNNs) have been rapidly developed in various applications, together with increasingly comple...

deep neural network adaptive quantization

https://pubmed.ncbi.nlm.nih.gov/35794205/

A deep convolutional neural network for Kawasaki disease diagnosis

Kawasaki disease (KD), the most common cause of acquired heart disease in children, can be easily missed as it shares clinical findings with other pediatric...

convolutional neural network kawasaki disease deep diagnosis

https://www.creativeapplications.net/project/learning-to-see-making-deep-neural-network-predictions-on-live-camera-input/

Learning To See – Making deep neural network predictions on live camera input –...

Latest in the series of experiments and explorations into neural networks by Memo Akten is a pre-trained deep neural network able to make predictions on live...

learning to see deep neural network making predictions

https://arxiv.org/abs/1710.10296

[1710.10296] The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA

Abstract page for arXiv paper 1710.10296: The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA

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