Deep neural networks topic

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

List Deep neural networks repositories

condensa

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Programmable Neural Network Compression

BertSentimentClassification

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BERT Sentiment Classification on the Large Movie Review Dataset.

techniques

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Techniques for deep learning with satellite & aerial imagery

HyperDenseNet

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This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

LiviaNET

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This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scal...

Crowded-Valley---Results

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This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"

CaffeSVD

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使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层

BraTS2018-tumor-segmentation

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We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR im...

dynamics

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A Compositional Object-Based Approach to Learning Physical Dynamics

MIT-6.S094

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MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions