CS631 — Deep Learning

Lectures (113)

Historical Overview of Deep Learning | Deep Learning | CS631_Topic001

Applications of Deep Learning | Deep Learning | CS631_Topic002

Reasons Behind Current AI Revolution | Deep Learning | CS631_Topic003

What is Machine Learning | Deep Learning | CS631_Topic004

What is Deep Machine Learning | Deep Learning | CS631_Topic005

Linear Regression | Deep Learning | CS631_Topic006

Linear Regression; Least Square Error Solution | Deep Learning | CS631_Topic007

Linear Classifier | Deep Learning | CS631_Topic008

Coding Example of Linear Regression | Deep Learning | CS631_Topic009

Iterative Method for Biological Neuron | Deep Learning | CS631_Topic010

Iterative Method Example | Deep Learning | CS631_Topic011

Computational Graphs for Iterative Method | Deep Learning | CS631_Topic012

Computational Graphs | Deep Learning | CS631_Topic013

Gradient Descent | Deep Learning | CS631_Topic014

Deep Learning | Logistic Neuron | CS631_Topic015

Deep Learning | Gradient Descent | CS631_Topic016

Deep Learning | Gradient Descent | CS631_Topic017

Deep Learning | Multilayer Neural Network Back Propagation -Example 1| CS631_Topic018

Multilayer Neural Network Back Propagation: Example 2 | Deep Learning | CS631_Topic019

Multilayer Neural Network: Numerical Example | Deep Learning | CS631_Topic020

Hyperparameters | Deep Learning | CS631_Topic021

Regularization | Deep Learning | CS631_Topic022

Dropout | Deep Learning | CS631_Topic023

Batch Normalization | Deep Learning | CS631_Topic024

Weight Normalization | Deep Learning | CS631_Topic025

Variants of Gradient Descent | Deep Learning | CS631_Topic026

Gradient Descent with Momentum | Deep Learning | CS631_Topic027

Optimizing Learning Rate | Deep Learning | CS631_Topic028

Optimizing Both the Gradient Direction & Learning Rate | Deep Learning | CS631_Topic029

1D Convolution | Deep Learning | CS631_Topic030

2D Convolution | Deep Learning | CS631_Topic031

2D Convolution Example | Deep Learning | CS631_Topic032

Zero Padding, Mirror Padding Stride | Deep Learning | CS631_Topic033

Edge Detection Via 2D Convolution | Deep Learning | CS631_Topic034

Practice with Linear Filters | Deep Learning | CS631_Topic035

Image Classification Via Filter Bank | Deep Learning | CS631_Topic036

Convolution Via Multi-Layer Perception | Deep Learning | CS631_Topic037

CNN Example | Deep Learning | CS631_Topic038

Limitation and Parameters | Deep Learning | CS631_Topic039

Convolution Layer | Deep Learning | CS631_Topic040

CiFAR 10 Demo | Deep Learning | CS631_Topic041

CiFAR 10: Hands on Example | Deep Learning | CS631_Topic042

CNN Case Studies | Deep Learning | CS631_Topic043

CNN Case Study Alex Net | Deep Learning | CS631_Topic044

VGG Net | Deep Learning | CS631_Topic045

GoogLe Net | Deep Learning | CS631_Topic046

Res Net | Deep Learning | CS631_Topic047

SE Net | Deep Learning | CS631_Topic048

Mobile Net and Efficient Net | Deep Learning | CS631_Topic049

Introduction to Object Detection | Deep Learning | CS631_Topic050

Region Proposals | Deep Learning | CS631_Topic051

Fast RCNN | Deep Learning | CS631_Topic052

Faster RCNN | Deep Learning | CS631_Topic053

You Only Look Once (YOLO) | Deep Learning | CS631_Topic054

Training You Only Look Once (YOLO) | Deep Learning | CS631_Topic055

YOLO Loss Function | Deep Learning | CS631_Topic056

Yolo: Object Detection Demo | Deep Learning | CS631_Topic057

Introduction to Generative AI | Deep Learning | CS631_Topic058

Introduction to Embedding and Representation Learning | Deep Learning | CS631_Topic059

Principle Component Analysis | Deep Learning | CS631_Topic060

Numerical Example of Principle Component Analysis (PCA) | Deep Learning | CS631_Topic061

Face Recognition Via PCA | Deep Learning | CS631_Topic062

Face Recognition Via PCA Demo | Deep Learning | CS631_Topic063

Introduction to Autoencoders | Deep Learning | CS631_Topic064

Comparison: PCA Vs. Autoencoders | Deep Learning | CS631_Topic065

Autoencoders Demo | Deep Learning | CS631_Topic066

Autoencoders Coding Example | Deep Learning | CS631_Topic067

Semantic Segmentation Via Autoencoder | Deep Learning | CS631_Topic068

Methods for Upsampling | Deep Learning | CS631_Topic069

Latent Space Interpolation | Deep Learning | CS631_Topic070

Introduction to Generative Adversarial Networks | Deep Learning | CS631_Topic071

Training GANs | Deep Learning | CS631_Topic072

Training GANs Demo | Deep Learning | CS631_Topic073

Problem With Gans | Deep Learning | CS631_Topic074

Conditional Gan | Deep Learning | CS631_Topic075

Cycle Gan | Deep Learning | CS631_Topic076

Latent Space Interpolation And Others Examples | Deep Learning | CS631_Topic077

Coding Example Gans | Deep Learning | CS631_Topic078

Introduction to Recurrent Neural Network | Deep Learning | CS631_Topic079

Recurrent Neural Network – Computational Graph | Deep Learning | CS631_Topic080

Examples – Char RNN, Image Captioning | Deep Learning | CS631_Topic081

Example - Char RNN Code | Deep Learning | CS631_Topic082

Problems with RNN | Deep Learning | CS631_Topic083

Variants of RNN: LSTM | Deep Learning | CS631_Topic084

Introduction to Attention | Deep Learning | CS631_Topic085

How to Compute Attention Weights | Deep Learning | CS631_Topic086

Transformers | Deep Learning | CS631_Topic087

Transformers: Multi Headed Attention | Deep Learning | CS631_Topic088

Transformer Decoder | Deep Learning | CS631_Topic089

Training the Transformer | Deep Learning | CS631_Topic090

Transformer Inference | Deep Learning | CS631_Topic091

Generative Pre-Trained Transformers (GPT) | Deep Learning | CS631_Topic092

LLM Visualization | Deep Learning | CS631_Topic093

Vision Transformers (ViT) | Deep Learning | CS631_Topic094

Contrastive Pre-Training | Deep Learning | CS631_Topic095

Diffusion Models | Deep Learning | CS631_Topic096

Unconditional Image Generation | Deep Learning | CS631_Topic097

Training a Diffusion Model | Deep Learning | CS631_Topic098

Problems with Diffusion Model | Deep Learning | CS631_Topic099

Conditional Diffusion | Deep Learning | CS631_Topic100

Well Know Diffusion Models | Deep Learning | CS631_Topic101

Neural Network Compression | Deep Learning | CS631_Topic102

Unstructured Pruning | Deep Learning | CS631_Topic103

Structured Pruning | Deep Learning | CS631_Topic104

Online Structured Pruning | Deep Learning | CS631_Topic105

Knowledge Distillation | Deep Learning | CS631_Topic106

Types of Knowledge Distillation | Deep Learning | CS631_Topic107

Quantization | Deep Learning | CS631_Topic108

Quantization in Transformer Layers | Deep Learning | CS631_Topic109

Advance Topics in Deep Learning | Deep Learning | CS631_Topic110

Reinforcement Learning | Deep Learning | CS631_Topic111

Agentic AI | Deep Learning | CS631_Topic112

Bias in AI Systems | Deep Learning | CS631_Topic113