Deep Learning For Visual Computing

Deep Learning for Visual Computing (NPTEL Online Course)

Preview

4 min

Introduction to Visual Computing

Feature Extraction for Visual Computing

Feature Extraction with Python (Hands on)

Neural Networks for Visual Computing

Classification with Perceptron Model (Hands on)

Introduction to Deep Learning with Neural Networks (Part 1)

Introduction to Deep Learning with Neural Networks (Part 2)

Multilayer Perceptron and Deep Neural Networks (Part 1)

Multilayer Perceptron and Deep Neural Networks (Part 2)

Classification with Multilayer Perceptron (Hands on)

Autoencoder for Representation Learning and MLP Initialization

MNIST handwritten digits classification using auto encoders (Hands on)

Fashion MNIST classification using auto encoders

ALL-IDB Classification using auto encoders

Retinal Vessel Detection using auto encoders (Hands on)

Stacked Autoencoders

MNIST and Fashion MNIST Classification with Stacked Autoencoders (Hands on)

Sparse and Denoising Autoencoders

Sparse Autoencoders for MNIST classification (Hands on)

Denoising Autoencoders for MNIST classification (Hands on)

Cost Function

Classification cost functions

Gradient Descent Learning Rule

SGD and ADAM Learning Rules