VTU Online Class - Course Details

Deep Learning for Computer Vision

@VTU COE

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(0) 42 Students

What you will learn

Computer Science and Engineering

The course will cover basics as well as recent advancements in these areas, which will help the student learn the basics as well as become proficient in applying these methods to real-world applications.

Course Introduction

Image Formation

Image Representation

Linear Filtering

Image in Frequency Domain

From Edges to Blobs and Corners

Scale Space, Image Pyramids and Filter Banks

Feature Detectors : SIFT and Variants

Image Segmentation

Other Feature Spaces

Human Visual System

Feature Matching

Hough Transform

From Points to Images: Bag-of-Words and VLAD Representations

Image Descriptor Matching

Pyramid Matching

From Traditional Vision to Deep Learning

Neural Networks: A Review - Part 1

Neural Networks: A Review - Part 2

Feedforward Neural Networks and Backpropagation - Part 1

Feedforward Neural Networks and Backpropagation - Part 2

Gradient Descent and Variants - Part 1

Gradient Descent and Variants - Part 2

Regularization in Neural Networks - Part 1

Regularization in Neural Networks - Part 2

Improving Training of Neural Networks - Part 1

Improving Training of Neural Networks - Part 2

Convolutional Neural Networks: An Introduction - Part 01

Convolutional Neural Networks: An Introduction - Part 02

Backpropagation in CNNs

Evolution of CNN Architectures for Image Classification-Part 01

Evolution of CNN Architectures for Image Classification-Part 02

Recent CNN Architectures

Finetuning in CNNs

CNNs for Object Detection-I-PART 01

CNNs for Object Detection-I-PART 02

CNNs for Object Detection-II

CNNs for Segmentation

CNNs for Human Understanding: Faces-PART 01

CNNs for Human Understanding: Faces-PART 02

CNNs for Human Understanding: Human Pose and Crowd

CNNs for Other Image Tasks

Recurrent Neural Networks: Introduction

Backpropagation in RNNs

Video Understanding using CNNs and RNNs

Attention in Vision Models: An Introduction

Vision and Language: Image Captioning

Beyond Captioning: Visual QA, Visual Dialog

Other Attention Models

Self-Attention and Transformers

Deep Generative Models: An Introduction

Generative Adversarial Networks-Part 01

Generative Adversarial Networks-Part 02

Variational Autoencoders

Combining VAEs and GANs

Beyond VAEs and GANs: Other Deep Generative Models-Part - 01

Beyond VAEs and GANs: Other Deep Generative Models-Part - 02

GAN Improvements

Deep Generative Models across Multiple Domains

VAEs and DIsentanglement

Deep Generative Models: Image Applications

Deep Generative Models: Video Applications

Few-shot and Zero-shot Learning - Part 01

Few-shot and Zero-shot Learning - Part 02

Self-Supervised Learning

Adversarial Robustness

Pruning and Model Compression

Neural Architecture Search

Course Conclusion

Live Session 24-08-2021

Live Session 19-10-2021

Live Session 11-10-2020

Live Session 08-11-2020

Live Session 13-12-2020

No Discussion Found

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Meet Your Instructor

@VTU COE

Instructor

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40 Students

718 Courses

About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

video

Free

Course Duration

40 h 58 m 38 s
Course Level

Intermediate
Student Enrolled

42
Language

English

This Course Includes

40 h 58 m 38 s Video Lectures
1 Quizzes
0 Assignments
0 Downloadable Resources
Full Lifetime Access
Certificate of Completion