957: Add some gradient checking tests on GPUs r=dhairyagandhi96 a=dhairyagandhi96
Good to add generic tests for tracking gradients through the various layers on the GPU.
Co-authored-by: Dhairya Gandhi <dhairya@juliacopmuting.com>
Co-authored-by: Dhairya Gandhi <dhairya@juliacomputing.com>
853: Improve docs r=CarloLucibello a=janEbert
If you disagree with any of the changes, please tell me what to reverse or fix.
I am unsure about the docstrings I added to `src/utils.jl` for `unsqueeze` and
the `[un]stack` functions so please give those a more detailed look.
Update Documenter.jl version for new features, fix deprecation warnings in
`docs/make.jl` and import Flux for all doctests.
Add missing docstrings to `src/utils.jl`, `src/layers/stateless.jl` and `src/data/`; add
these and other missing functions to Markdown docs.
Improve docstrings by...
- fixing typos,
- removing trailing or double whitespaces,
- using `jldoctest` blocks where applicable,
- fixing, updating or correctly setting up existing doctests,
- improving consistency (for example, always use "# Examples" instead
of other variants),
- removing empty lines between docstrings and functions,
- instead of mentioning keywords, put them into the docstring,
- adding some missing but useful keywords,
- adding references (`@ref`),
- using LaTeX math where applicable, and
- linking papers.
Debatable stuff that is untouched:
- BE/AE s/z irregularities (e.g. "normalise" versus "normalize") since
most papers use the AE version while the Flux source code was
written with BE spelling.
- Names of normalization functions are capitalized
("Batch Normalization" instead of "batch normalization").
- Default values in argument lists have spaces around the equals sign (`arg = x` instead of `arg=x`).
Co-authored-by: janEbert <janpublicebert@posteo.net>
1053: Added Some Loss functions with some doc improvements r=CarloLucibello a=AdarshKumar712
Added the following loss functions with tests:
1. mae
2. mean squared logarithmic error
3. huber loss
4. squared hinge loss
5. dice coeff loss
6. tversky loss
Also added some documentation improvements for few other functions.
Co-authored-by: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com>
1023: Feature: Added Boston Housing Dataset r=CarloLucibello a=pranjaldatta
[Boston Housing Dataset](https://archive.ics.uci.edu/ml/machine-learning-databases/housing/) is one of the most common datasets that are used by beginners. It is as popular as other datasets like Iris etc. Hence, it feels only natural that this dataset is a part of Flux.
Added src/data/housing.jl: code for downloading and loading the dataset
Edited src/data/Data.jl: To include and export housing.jl
Edited test/data.jl: Added test for the dataset.
*All tests in test/data.jl are passing*
Co-authored-by: pranjaldatta <pranjaldatta99@gmail.com>
Co-authored-by: Pranjal Datta <pranjaldatta99@gmail.com>
998: test restructure on the GPU r=CarloLucibello a=ChrisRackauckas
Requires https://github.com/FluxML/Zygote.jl/pull/474 to pass
Co-authored-by: Chris Rackauckas <accounts@chrisrackauckas.com>
960: Added utility function outdims to compute output dimensions of a layer r=dhairyagandhi96 a=darsnack
Based on Slack chatter, I added a utility function, `outdims`, that computes the output dimensions for given input dimensions.
Example
```julia
layer = Conv((3, 3), 3 => 16)
outdims(layer, (10, 10)) # returns (8, 8)
```
Co-authored-by: Kyle Daruwalla <daruwalla@wisc.edu>
cossio