· 1 min read
Series Kaggle Getting Started
Baby steps towards competitions
Why?
Because Getting Started is:
Easy
Less intimidating
Less chance of getting stuck
How we will do it?
By:
focusing on the process rather than just getting the output.
starting with easier problems.
Prerequisite
- PyTorch: A 60 Minute Blitz, Writing Custom Datasets
Expectations from this series
Time: 5–6 Hours per challenge or more.
Coding Style: fastai coding style
While coding, no function takes 10 seconds.
Heavy use of %timeit%
Explanation Style: Based on Kaggle Notebook Commits
Notebook Commit 1: Will focus on getting input and output
Next N-1 Commits: Will add new features/improvements. These will be linked.
Last Commit: Complete solution
This way one can see get a peek behind the finished product.
Abbreviations Used
X = training_data
y = training_label
ds = dataset
dl = dataloader
o = optimizerIndex
- Digit Recognition
- Facial Keypoints Detection - in progress
Related posts
- Why Framework Development Is Biggest Software Development Baton? Oct 27, 2022
- Advice for those who want to learn Deep Learning May 2, 2020
- Digit Recognition Mar 30, 2020
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