Dai’s blog – Bui Huu Dai

Attentions and Transformers

Deep Learning

Transformer

Attention

RNN

we’re going to talk about Attention and Transformers. This is a really exciting and important topic. These are ideas that have truly come to dominate not just computer vision, but really all of modern deep learning over the last several years. So this will be a really foundational for understanding the state of the art.

Aug 14, 2025

Bui Huu Dai

60 min

CNN architectures

Deep Learning

CNN

How do we build CNNs? This isn’t just about stacking layers arbitrarily. It involves a nuanced understanding of the various types of layers in CNNs: convolution, pooling, fully connected, and others. Once we’ve designed an architecture, the training process is, of course, where the learning occurs. It’s where the network adapts its parameters to minimize the loss function on the training data.

Aug 10, 2025

Bui Huu Dai

57 min

Neural network and backpropagation

Deep Learning

Backpropagation

Neural Networks

“Deep learning” this is the term you hear everywhere now, and it’s really transformed not just computer vision, but many areas of artificial intelligence. And the progress…

Aug 8, 2025

Bui Huu Dai

49 min

Regularization and Optimization

Deep Learning

Optimization

Regularization and optimization are the two absolute critical concepts in deep learning that allow our model to learn effectively and generalize well to new data

Aug 5, 2025

Bui Huu Dai

41 min