Implementing a Convolutional Neural Network Using Only NumPy

by vzhou842 • 7 years ago

126 12 7 years ago

vzhou8422• 7 years ago

Hey, author here. Happy to hear any comments or answer any questions.

stuqqq• 7 years ago

vzhou8422• 7 years ago

One of those was the prequel to this post: https://news.ycombinator.com/item?id=19981736 (titles are similar because content is similar)

The other two were reposts because they didn’t gain traction.

Anon84• 7 years ago

Doesn't HN get rid of duplicates?

minimaxir• 7 years ago

HN allows a small number of reposts for a given post if the original didn't get much traction.

In this case however, this particular is a Part 2 to a Part 1 that was successful on HN, which may not be sufficiently different.

khasreto• 7 years ago

Wow nice job in the next part you can implement regression :) , This is done better than my lectures do at university haha. Greetings

neurohacker• 7 years ago

If you want to downsample segmentation produced from convnet output using only numpy, I have this technique to contribute :)

panpanna• 7 years ago

Andrew Ng's coursed learn you to build CNN (and lots more) from scratch using only numpy.

Hope does this compare to that?

rahimnathwani• 7 years ago

Victor's CNN posts cover roughly the same ground as section 1 (of 4) of Andrew's CNN course.

Andrew's explanations in the videos are really well crafted, and cover the 'why' of everything clearly.

Sections 2-4 of Andrew's course cover more advanced CNN architectures, and also more advanced use cases that image classification.

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