Deep Learning with Yacine on MSN
Backpropagation from scratch in Python – step by step neural network tutorial
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Deep Learning with Yacine on MSN
Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial
Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
This is a concise Python 3 programming tutorial for people who think that reading is boring. I try to show everything with simple code examples; there are no long and complicated explanations with ...
Docker container with freesurfer + MNE Python for the source-analyses-ready cortical reconstruction.
For my MEG/EEG research, I've been using Freesurfer for a single thing only: to get a cortical reconstruction from the MRI images for the source-level analyses, and the standard way of doing things, ...
Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
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