52:22

Lecture 11: CLIP (Contrastive Language-Image Pretraining) – Bridging Text and Images

1:06:10

Lecture 13_01: Generative Adversarial Networks

31:01

Lecture 01: Introduction of recurrent neural networks (RNNs)

56:44

Lecture 05: Action Recognition and the Self-Attention Mechanism in Transformers

27:28

Lecture 14_4: GANs Implementation and Stack GANs

57:09

Lecture 02: Image Captioning with RNNs and Long Short-Term Memory (LSTM) Network

1:29:58

Lecture 15: Introduction of Variational Autoencoder

43:48

Lecture 08: Transformer Decoder Explained: The Power of Masked Self-Attention and Cross Attention