2023-04-28 16:00:00
In this file, Guillaume Poggiaspalla explains how artificial intelligence algorithms work. With easy-to-represent images, he details the functioning of neural networks, backpropagation, the notions of tensors, etc.
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From mixer to puppy detector
- It’s sound that runs through my veins!
- Good perception of the perceptron.
- Feed forward networks: it holds a layer of them… even full.
- Vector of stress and function of functions.
- Deep learning once morest Stéphane Plaza.
- Backpropagation: learning from mistakes with a gradient from behind.
- Following its gradient: how to find yourself at the bottom of the hole.
- We relax on the tensors.
- Always in the headlong rush, the feedforwards have no vision…
- Let’s talk regarding no convolution filter!
- How to recognize a weasel from a backhoe loader?
- AlexNet: end of winter and consecration of neural networks.
???? On video and in super serious mode here (for example)
Participants
- A program prepared by Guillaume Poggiaspalla
- Presented by Guillaume Vendé
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