sayakpaul / Spatial-Transformer-Networks-with-Keras

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

Date Created 2021-04-17 (3 years ago)

Commits 17 (last one 2 years ago)

Stargazers 36 (0 this week)

Watchers 2 (0 this week)

Forks 6

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these sayakpaul/Spatial-Transformer-Networks-with-Keras is ranked #543,012 (9th percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,231/17,660.

sayakpaul/Spatial-Transformer-Networks-with-Keras is also tagged with popular topics, for these it's ranked: tensorflow (#2,180/2258), keras (#771/794), cnn (#518/557)

Other Information

There have been 1 release, the latest one was published on 2021-04-17 (3 years ago) with the name TensorBoard logs.

All Topics

cnn keras mnist vision tensorflow affine-transformation spatial-transformer-network

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1 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-07-11 @ 07:27am, id: 358922887 / R_kgDOFWS6hw