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  • Posts
  • Passive Acoustic Monitoring Using AI
    • Deep Learning pipeline
      • Audio Event Detection
      • Speaker Recognition
    • Ecology
  • Projects
    • Semantic Segmentation for cars
    • Table Structure Recognition
  • MVA Courses
    • Computer Vision & Object Recognition
      • Lesson 1
      • Lesson 3
    • Deep Learning
      • Lesson 2
    • Reinforcement Learning
      • Lesson 1
      • Lesson 2
  • Backward propagation
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Backward propagation using matrix notations

An explanation of the mathematics behind backward propagation.

November 9, 2021 Read
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PAMAI : Passive Acoustic Monitoring Using AI

Introduction Pteropus dasymallus or flying foxes (from the {Pteropus Genus) is an insular solitary island fruit bat inhabiting the Ryukyu archipelago in Japan and some Taiwanese islands. The important and widespread decline of this species, while mostly related to habitat loss and hunting 1 2 3 , raises concern about their level of protection. Currently, $ 60 \%% $ of Pteropus for which data are available are listed as vulnerable, endangered or critically endangered on the IUCN (2020) Red List4.

October 20, 2021 Read
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PAMAI : Audio Event Detection

My most recent results are available! I implemented the SincNet in Pytorch! My results were logged using , an amazing visualisation tool for sweeps. The dataset is, for now, a third of the Egyptian FruitBat dataset. Soon, I will add other animal recordings in order to asset the generalisation performances of my network! I will also compute the IoU for the best classes, and shall compare this implementation with my trainings on YOLOR (You Only Learn One Reprensentation) which I previously implemented.

October 18, 2021 Read
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PAMAI : Speaker Recognition

October 18, 2021 Read
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Reinforcement learning, lesson 1

How to model an RL problem: Markov Decision Processes

October 18, 2021 Read
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Reinforcement learning, lesson 2

How to model an RL problem: Dynamic programming

October 18, 2021 Read
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Computer Vision and Object Recognition, lesson 1

How to model an RL problem: Markov Decision Processes

June 8, 2020 Read
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Computer Vision and Object Recognition, lesson 3

How to model an RL problem: Markov Decision Processes

June 8, 2020 Read
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Deep Learning, lesson 1

Comparing activation functions

January 1, 0001 Read
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Semantic Segmentation for cars

January 1, 0001 Read
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Table Structure Recognition

January 1, 0001 Read
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Contact me:
  • Email: arthur.zucker@ens-paris-saclay.fr