PapersAnalysis

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Coding - Architectures - AlexNet

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# Overview Coding AlexNet in many ways and using different frameworks

NicolaBernini

# Overview Reading [Negative eigenvalues of the Hessian in deep neural networks](https://arxiv.org/abs/1902.02366) Abstract > The loss function of deep networks is known to be non-convex but the precise nature of...

NicolaBernini

Paper Read - Simultaneous Object Detection and Semantic Segmentation

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# Overview Reading [Simultaneous Object Detection and Semantic Segmentation](https://arxiv.org/abs/1905.02285) Abstract > Both object detection in and semantic segmentation of camera images are important tasks for automated vehicles. Object detection is...

NicolaBernini

Reading - Deep Learning without Poor Local Minima

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# Overview Reading [Deep Learning without Poor Local Minima](https://arxiv.org/abs/1605.07110) : a paper which achieved very interesting theoretical results on DNN back in 2016 The abstract is very interesting  #...

NicolaBernini

The Architectural Implications of Autonomous Driving: Constraints and Acceleration

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# Overview Analysis of [The Architectural Implications of Autonomous Driving: Constraints and Acceleration](https://web.eecs.umich.edu/~yunqi/pdf/lin2018autonomous.pdf)

NicolaBernini

# Overview Analysis of [PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation](https://arxiv.org/abs/1812.11788v1)

NicolaBernini

[Goodfellow, Bengio, Courville - Deep Learning Book] Representation Learning

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# Overview Representation Learning

NicolaBernini

Bengio - Marcus AI Debate (2019 Dec)

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# Overview Comments about the [Bengio - Marcus AI Debate](https://montrealartificialintelligence.com/aidebate/) # Index - [Limits of Current DL](https://github.com/NicolaBernini/PapersAnalysis/issues/24#issuecomment-569252754) - [Deep Learning 1.0 - Bengio's Definition](https://github.com/NicolaBernini/PapersAnalysis/issues/24#issuecomment-569254621)

NicolaBernini

Q Learning

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# Overview This is about the [Q Learning](https://en.wikipedia.org/wiki/Q-learning) Algo # Index - [Overview](https://github.com/NicolaBernini/PapersAnalysis/issues/23#issuecomment-569248094) - [Update Equation](https://github.com/NicolaBernini/PapersAnalysis/issues/23#issuecomment-569250142)

NicolaBernini

Reinforcement Learning, Fast and Slow

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# Overview Paper Readthrough related to the original paper [Reinforcement Learning, Fast and Slow](https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(19)30061-0) - In depth analysis can be also found [here](https://drive.google.com/open?id=18-EXd6uKowrT3wiTzR6ZUk6CbP6DRyokLYaRlXu97Q0) and it is open for collaborative updating...

NicolaBernini