Great tutorials. I had trouble understanding several concepts in deep learning and although I have watched/read many online resources, your videos are by far the best ones. So thank you for the effort!
in the summary you said that smaller bath sizes can converge faster and before you mentioned that it takes longer to converge ... could you clarify please? Thanks.
Hello, may i ask for my final year project? I had 1320 images need to classify 5 classes. Either 30 mini batch size or 50 mini batch size is good to use in deep learning training? I am using laptop with single CPU. And currently my epoch is 10 epochs. And I am still not understanding the concept of mini batch size and its calculation.
Yes, weights are updated during training after each batch size during batch gradient descent. You may find this useful: datascience.stackexchange.com/questions/27421/when-are-weights-updated-in-cnn
Great tutorials. I had trouble understanding several concepts in deep learning and although I have watched/read many online resources, your videos are by far the best ones. So thank you for the effort!
Glad it was helpful!
Thanks. Great Explained Bech Size, Iteation and Epochs... problem solved
Great work.. I can now finally understand the difference between Batch size and Epoch!!
Great to hear!
Thanks a lot...It was very helpful for me
Thank you very much.
Finally I could understand this topic. Thanks Bro, keep it up. 💯👋👋👋🇵🇪
Glad to hear that
Excellent and clear explanation. Tkx.
in the summary you said that smaller bath sizes can converge faster and before you mentioned that it takes longer to converge ... could you clarify please?
Thanks.
can calculate batch-size ?
I am doing ANPR project I have 346 train images and 84 test image what batch size and epoch should I choose
I'm still confused
Generally, for smaller datasets (
Hello, may i ask for my final year project? I had 1320 images need to classify 5 classes. Either 30 mini batch size or 50 mini batch size is good to use in deep learning training? I am using laptop with single CPU. And currently my epoch is 10 epochs.
And I am still not understanding the concept of mini batch size and its calculation.
Please watch this video on Batch Size. ruclips.net/video/OSY7hWADMZk/видео.html
Hopefully, it fills the gap in your knowledge about batch size.
So… the weights will be updated only after each batch size?
Yes, weights are updated during training after each batch size during batch gradient descent. You may find this useful: datascience.stackexchange.com/questions/27421/when-are-weights-updated-in-cnn
Hi bro how are u bro
All good