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CS50: Introduction to Artificial Intelligence with Python - 2020

Harvard, , Prof. David J. Malan

Updated On 02 Feb, 19

Overview

Learn to use machine learning in Python in this introductory course on artificial intelligence.

Includes

Lecture 7: Neural Networks - Lecture 5 - CS50's Introduction to Artificial Intelligence with Python 2020

4.1 ( 11 )


Lecture Details

00:00:00 - Introduction
00:00:15 - Neural Networks
00:05:41 - Activation Functions
00:07:47 - Neural Network Structure
00:16:02 - Gradient Descent
00:30:00 - Multilayer Neural Networks
00:32:58 - Backpropagation
00:36:27 - Overfitting
00:38:52 - TensorFlow
00:53:01 - Computer Vision
00:58:09 - Image Convolution
01:08:18 - Convolutional Neural Networks
01:27:03 - Recurrent Neural Networks

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By courses end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

https://www.youtube.com/playlist?list=PLhQjrBD2T382Nz7z1AEXmioc27axa19Kv

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LICENSE

CC BY-NC-SA 4.0
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
https://creativecommons.org/licenses/by-nc-sa/4.0/

David J. Malan
https://cs.harvard.edu/malan
malan@harvard.edu

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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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