Evaluation

Assignments - 25%

Quizzes - 25%

Course Project - 50%

Resources

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S.N	Topic	Slides	External References
1.	Introduction	Slides	..
2.	Backpropagation and Regularization methods for Deep Models	Notes -1 Notes-2	Backpropagation
3.	Variational Autoencoder	Notes	VAE- Tutorial
4.	Variational Autoencoder-II	Lowerbound derivation-Notes Recorded Lecture	VAE-PPT VAE-PPT-II
5.	Introduction to GANs	Standard GAN Loss function formulation Slides Recorded Lecture	GAN Standard Paper by Ian Goodfellow GAN-Tutorial
6.	GAN theory and WGAN - Motivation	Standard GAN theory Slides Recorded Lecture	Slides - TOWARDS PRINCIPLED METHODS FOR TRAINING GENERATIVE ADVERSARIAL NETWORKS TOWARDS PRINCIPLED METHODS FOR TRAINING GENERATIVE ADVERSARIAL NETWORKS Paper Wasserstein GAN
7.	WGAN-GP, SNGAN and PGGAN (Variants of GAN frameworks)	Notes Slides Recorded Lecture	Nice blog - SNGAN Nice blog - WGAN-GP WGAN vs WGAN-GP WGAN-GP Paper SNGAN Paper Nice blog - PGGAN PGGAN Paper
8.	Evaluation Metrics - FID score and Inception Score	-	FID and Inception Score
9.	Cycle GAN - Image to Image Translations	Notes	CycleGAN
10.	Introduction to Graphs and Graph Neural Networks	Slides	GNN
11.	GCN and GAT	Slides Notes	GCN and GAT
12.	GCN and GAT - II	Notes	GCN and GAT
13.	GraphRNN	Graph RNN Slides, credits:CS224w Graph RNN blog
15.	Image Captioning Before "Attention is all you need" and DRAW Model	Slides from NPTEL - Credits to Prof. Vineeth Balasubramaniam, IITH Link
15.	Transformer - Self attention and Multi-head attention	Slides from NPTEL - Credits to Prof. Vineeth Balasubramaniam, IITH Link Encoder Explained Clearly- Blogpost Link
16.	Decoder - Transformer	Slides from NPTEL - Credits to Prof. Vineeth Balasubramaniam, IITHlink Decoder Explained clearly - Masked Attention link
17.	BERT Model	BERT Model Vs Word2Veclink External Reference Link External Reference -II Link
18.	GPT	What is GPT Model (very nice blog) BERT and GPT Model
19.	LLAMA Multi Head Attention Vs Multi Query Attention Cache Aware Memory Access	LLAMA2_slides MultiQueryAttention vs MHA
20.	CLIP Model and Multimodal Pre-training	Vision-Language Models (upto 13th slide) CLIP
21.	Diffusion Models	Diffusion Models
21.	Stable Diffusion	To be updated