4 ms·
Implementing a Convolutional Neural Network Using Only NumPy
- vzhou842 7y agoHey, author here. Happy to hear any comments or answer any questions. Runnable code from the article: https://repl.it/@vzhou842/A-CNN-from-scratch-Part-2 https://repl.it/@vzhou842/A-CNN-from-scratch-Part-2
- stuqqq 7y agoYou keep posting this a few times this week: https://news.ycombinator.com/from?site=victorzhou.com https://news.ycombinator.com/from?site=victorzhou.com
- vzhou842 7y agoOne of those was the prequel to this post: https://news.ycombinator.com/item?id=19981736 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.
- modsiw 7y agoDid you change anything to help get traction? Seems to me that’s just a verbose way of saying you spammed it.
- Anon84 7y agoDoesn't HN get rid of duplicates?
- minimaxir 7y agoHN 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 7y agoWow nice job in the next part you can implement regression :) , This is done better than my lectures do at university haha. Greetings
- neurohacker 7y agoIf you want to downsample segmentation produced from convnet output using only numpy, I have this technique to contribute :) https://towardsdatascience.com/countless-high-performance-2x-downsampling-of-labeled-images-using-python-and-numpy-e70ad3275589 https://towardsdatascience.com/countless-high-performance-2x...
- panpanna 7y agoAndrew Ng's coursed learn you to build CNN (and lots more) from scratch using only numpy. Hope does this compare to that?
- rahimnathwani 7y agoVictor'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.