VGG16 Neural Networks visualization. Subscribe to this RU-vid channel or connect on: Web: LinkedIn: / denis-dmi. . Support on Patreon: / deep_robotics Support on PayPal, user: denis.y.dmitriev@gmail.com
This is definitely one of the best I've seen! Liked immediately. But maybe using more labeled fruit images from Google will better demonstrate the power of VGG16? Since one single fruit is used for each kind, the shape might be easily learned and recognized by the the networks. A lot of prep effort tho! Again, very nice work and can't wait to see more. Cheers!
...😀 You are back! Any news on a tutorial? Or if possible: Sharing the code with documentation? Would a donation help this along? 😎 Regardless: Thank you for making this!
This wouldn't solve the real world problem in efficient way since in real world you would have different background, different size, color, shapes, and half/partial image, multiple fruits. But this is very good for basic understanding.
hi Denis! Great video. Can you give some reference (link) that presents a simple example of CNN, from scracth. I'm trying to learn, but the examples i found are not good at all.
hello Denis! amazing video! what is the maximum catagories that can be used as input? right now you are using 10 different catagories. but can this be done for more catagories? like 100, 500, 1000?