Hi all, my name is Pamela Krzypkowska and I will be teaching you about Deep Learning this semester. Some information about me:
- I work as a Cloud Solution Architect specializing in AI @ Microsoft
- I 💌 'Animal Crossing' and TikTok
- I graduated Computer Science @ WUT and Philisophy @ UW
If you have not done it already, please fill in the class form. The form is anonymous. Tell me what you know about DL so the class can bring you more value: https://forms.office.com/r/bTCneHUzC6
How it started:
Source: https://www.manning.com/books/deep-learning-with-python
How it's going:
In the field of machine learning, deep learning, that is, learning with the help of multi-layer networks of neurons is the fastest growing, and by many also considered the most important, method of all other machine learning techniques.
So let's start with how the building blocks work:
Multi layared perceptron:
Backpropagation: https://towardsdatascience.com/understanding-backpropagation-algorithm-7bb3aa2f95fd
Visual Intro to Neural Nets: https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Loss functions: https://www.theaidream.com/post/loss-functions-in-neural-networks
Activation functions: https://www.mygreatlearning.com/blog/activation-functions/
Looking under(ish) the hood:
Source: https://www.manning.com/books/deep-learning-with-python
Deep Learning in a few diagrams:
Which is:
Which then is:
Source: https://www.manning.com/books/deep-learning-with-python
And what about the brain?
