FluxML/Flux.jl

Add max/mean unpooling operations

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#395 opened on Sep 11, 2018

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 (5 comments) (6 reactions) (0 assignees)Julia (619 forks)batch import
enhancementgood first issuehelp wanted

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Description

These are fairly common operations in image2image models (including 3d images) where they go in hand with ConvTranspose layers.

Contributor guide

Research direction
Study the existing ConvTranspose implementation in Flux.jl to understand the pattern, then implement max/mean unpooling layers following similar structure and test them.
Tech stack
None
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
JuliaGitFlux
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75