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Convolutional Neural Networks

Alexander Amini via YouTube

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Overview

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This introductory lecture explains how convolutional neural networks learn visual features through convolution, nonlinearities, and pooling. It includes an end-to-end code example and applications in object detection and self-driving cars.

Syllabus

​ - Introduction
​ - Amazing applications of vision
- What computers "see"
- Learning visual features
​ - Feature extraction and convolution
- The convolution operation
​ - Convolution neural networks
​ - Non-linearity and pooling
- End-to-end code example
​ - Applications
- Object detection
- End-to-end self driving cars
​ - Summary

Taught by

https://www.youtube.com/@AAmini/videos

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