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Hi folks, authors here in case you have questions. This is actually part 3 in a series. For developers who are still getting oriented around machine learning,
by djkust 10y ago
Hi folks, authors here in case you have questions.
This is actually part 3 in a series. For developers who are still getting oriented around machine learning, you might enjoy the first two articles, too. Part 1 shows how the machine learning process is fundamentally the same as the scientific thinking process. Part 2 explains why MNIST is a good benchmark task. Future parts will show how to extend the simple model into the more sophisticated stuff we see in research papers.
We intend to continue until as long as there are useful things to show & tell. If there are particular topics you'd like to see sooner than later, please leave a note!
- yazr 10y agoCan you do anything on RL?! I feel this is a huge area since so many projects start with no enough labeled data and can be gradually improved
- djkust 10y agoReinforcement learning is definitely on the docket! But we probably need to cover more fundamental topics like optimizers, loss functions, distributed representations, attention, and maybe memory states first. RL seems to have all the things ;)