통신공학강의-0407

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New channel ‍주민철(교원-지능형ICT융합전공): title sample judged 'whole' (A professor's full-length recorded lectures, exam solution walkthroughs, and MATLAB/Simulink lab sessions in signals, co); passed a second screen for sellers/exam-prep/re-uploads; 0 of 3 sampled transcripts showed teaching, 0 not; titles picked one by one, checked strictly; oEmbed verified.

What you'll learn

A 71-minute video from ‍주민철(교원-지능형ICT융합전공): “통신공학강의-0407”.

Programming & CS

Video by ‍주민철(교원-지능형ICT융합전공), played through YouTube's embedded player.

1:09:20

파이썬실습9-sampling ‍주민철(교원-지능형ICT융합전공)Programming & CS

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But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math25.1M views

Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyProgramming & CS8.21M views

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The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS4.41M views

24:26

The Beauty of Bézier Curves Freya HolmérProgramming & CS2.23M views

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CS50x 2024 - Lecture 1 - C CS50Programming & CS1.41M views

“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS5.85M views

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS65.7K views

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS2.2M views

RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS190K views

1:09:20

파이썬실습9-sampling

‍주민철(교원-지능형ICT융합전공)

A 69-minute video from ‍주민철(교원-지능형ICT융합전공): “파이썬실습9-sampling”.

1:00:16

매트랩실습9-20221207

‍주민철(교원-지능형ICT융합전공)

A 60-minute video from ‍주민철(교원-지능형ICT융합전공): “매트랩실습9-20221207”.

But what is a neural network? | Deep learning chapter 1

3Blue1Brown25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

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Andrej Karpathy8.21M views

Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

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3Blue1Brown11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

24:26

The Beauty of Bézier Curves

Freya Holmér2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

2:27:41

CS50x 2024 - Lecture 1 - C

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

2:04:55

CS50x 2024 - Lecture 0 - Scratch

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks190K views

Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.