Hi all,
Lecture 5: Neural Networks
<https://cs50.harvard.edu/summer/ai/2020/lectures/5/> is now available on
the course website. In the penultimate unit of the course, we continue our
exploration into machine learning with a look at neural networks, one of
the most popular and versatile tools in the modern machine learning
toolkit, inspired by the human brain. We'll look at a variety of different
neural network architectures — including deep networks, convolutional
networks, and recurrent networks — and explore how to build and train
neural networks in Python.
In this project, you'll build a neural network to classify real-world
images of traffic signs. You also have the option of alternatively
completing an *Exploratory Project*
<https://cs50.harvard.edu/summer/ai/2020/projects/5/#exploratory-project>
if you'd like to apply neural networks to a task of your own choosing.
A few other important announcements for this week:
- Quiz 5 <https://cs50.harvard.edu/summer/ai/2020/quizzes/5/> is now
available and is due by 11:59pm ET on Wed 7/29. As a reminder, each quiz is
open-book: you may use any and all non-human resources during a quiz, but
the only humans to whom you may turn for help or from whom you may receive
help are the course’s heads.
- Project 5 <https://cs50.harvard.edu/summer/ai/2020/projects/5/> is now
available and is due by 11:59pm ET on Sun 8/2.
- Sections <https://cs50.harvard.edu/summer/ai/2020/sections/> this
week will be an opportunity to explore neural networks more, see additional
examples of lecture material, and ask questions about this week's concepts.
You're encouraged to attend if you can!
As always, feel free to reach out to me or any of the course staff with any
questions!
All the best,
Brian
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