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Deep Learning for Computer Vision

Week 1: Image Formation and Representation
Week 2: Feature Detection and Description
Week 3: Neural Networks
Week 4: Convolutional Neural Networks
Week 5: CNN Architectures, Finetuning and Visualization
Week 6: Object Detection and Segmentation
Week 7: Recurrent Neural Networks
Week 8: Attention and Transformers
Week 9: Vision Transformers
Week 10: Deep Generative Models
Week 11: Diffusion Models
Week 12: Self-Supervised and Vision-Language Models

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Week 7: Recurrent Neural Networks

Contents

Lectures

Week 7: Recurrent Neural Networks#

Sequence models for vision: RNNs, backpropagation through time, LSTMs and GRUs, and video understanding.

Lectures#

Recurrent Neural Networks: An Introduction
Backpropagation in RNNs
LSTMs and GRUs
Video Understanding using CNNs and RNNs

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Week 6, Lecture 4: CNNs for Segmentation

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Week 7, Lecture 1: Recurrent Neural Networks: An Introduction

Contents

Lectures

By Prof. Vineeth N Balasubramanian, IIT Hyderabad

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