Sliding window object detection is a technique that allows you to detect objects in a picture. This technique is not very efficient as it is very compute intensive. Recently new techniques has been discovered that tried to improve performance such as R CNN, Fast R CNN, Faster R CNN etc. YOLO (You only look once) is a state of the art most modern technique that outperforms all other previous techniques such as sliding window object detection, R CNN, Fast and Faster R CNN etc. We will cover YOLO in future videos.

Deep learning playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Machine learning playlist : https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

#objectdetection #deeplearningobjectdetection #slidingwindowobjectdetection #deeplearningtutorial

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Can we measure memories in networks of neurons in bytes? Or should we think of our memory differently?

Submission to the Summer of Math Exposition 2022 (#SoME2). More information: https://summerofmathexposition.....substack.com/p/the-

Time stamps:
0:00 - Where is your memory?
1:41 - Computer memory in a nutshell
2:58 - Modeling neural networks
4:42 - Memories in dynamical systems
9:54 - Learning
13:36 - Memory capacity and conclusion

Animations largely made using the manim community edition:
https://www.manim.community/

Original Paper on Hopfield Networks:
Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences, 79(8), 2554-2558.

Neuron image by Santiago Ramón y Cajal, The pyramidal neuron of the cerebral cortex, 1904 Ink and pencil on paper, 8 5/8 x 6 7/8 in. Credit: Cajal Institute (CSIC), Madrid

Music: Aakash Gandhi - "Dreamland"