Introduction to Deep Learning & Neural Networks

Self-Attention

Explore the concept of self-attention in transformer models, understanding how it computes relationships within sequences by using queries, keys, and values. Learn the mathematical foundation and PyTorch implementation to grasp how self-attention enhances natural language processing tasks.

We'll cover the following...

1.Learn Deep Learning

2.Neural Networks

3.Training Neural Networks

4.Convolutional Neural Networks

5.Recurrent Neural Networks

6.Autoencoders

7.Generative Adversarial Networks

8.Attention and Transformers

9.Graph Neural Networks

10.Conclusion

Assessment

Self-Attention