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GAN Tricks: Equalized Learning Rate

Generalised implementation in Pytorch

 Posted on January 5, 2021  |  4 minutes  |  

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gan,  generative-model,  stylegan,  equalized-learning-rate,  pytorch,  rosinality,  hook,  computation-graph,  deep-learning 

Jigsaw Toxic Comment Kaggle

Notes on Team Lingua Franca's solution

 Posted on December 6, 2020  |  7 minutes  |  

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kaggle,  nlp,  classification,  pseudo-label,  semi-supervised,  deep-learning 

Super-resolving satellite images using ESRGAN

How well does the ESRGAN work on satellite images?

 Posted on October 17, 2020  |  13 minutes  |  

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deep-learning,  super-resolution,  GAN,  ESRGAN,  satellite-image,  generative,  unsupservised 

Tiny Art Exhibition: Style Transfer

The style of a selection of artists is imprinted onto everyday photographs using Nerual Style Transfer.

 Posted on June 2, 2020  |  2 minutes  |  

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deep-learning,  neural-style-transfer,  perceptual-loss,  gramm-matrix,  image-processing 

Grad-CAM in Deepfake Face Recognition

Where's the CNN looking at?

 Posted on April 14, 2020  |  10 minutes  |  

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gradient,  CAM,  Grad-CAM,  deep-learning,  CNN,  hooks,  efficientnet-b1,  deepfakes,  kaggle,  dfdc,  RetinaFace,  holoviews,  context-manager 

Backpass and Pytorch Autograd

How to compute gradients

 Posted on April 9, 2020  |  8 minutes  |  

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deep-learning,  pytorch,  back-propagation,  gradient,  autograd,  backward,  requires_grad 

New Fastai to be Released

A quick play with its APIs for segmentation with Unet

 Posted on November 23, 2019  |  13 minutes  |  

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deep-learning,  Kaggle,  fastai2,  segmentation,  Unet,  Transform,  Pipeline, 

A visual guide to the SSD loss function

Bounding boxes, grid boxes, and anchor boxes. What are they really?

 Posted on July 24, 2019  |  9 minutes  |  

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object detection  single-shot detector  SSD  Pascal-VOC  fastai  deep learning 

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