A gentle intro to neural networks.

Perceptron Video : https://www.youtube.com/watch?v=4Gac5I64LM4

Logistic Regression Video : https://www.youtube.com/watch?v=9zw76PT3tzs

My Patreon : https://www.patreon.com/user?u=49277905

I was inspired to make these videos by this specialization: https://bit.ly/3SqLuA6

Progressive Growing of GANs for Improved Quality, Stability, and Variation: https://arxiv.org/abs/1710.10196

#PaperReview #PaperExplained

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

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GAN Playlist:
https://youtube.com/playlist?l....ist=PLhhyoLH6IjfwIp8

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

Timestamps:
0:00 - Introduction
0:34 - Overview
5:06 - Progressive growing
7:36 - MiniBatch Std
9:15 - Fading in new layers
13:37 - Normalization (PixelNorm & Eq. LR)
20:30 - Some results
20:55 - Implementations details
30:59 - Ending

We're going to learn how to use deep learning to convert an image into the style of an artist that we choose. We'll go over the history of computer generated art, then dive into the details of how this process works and why deep learning does it so well.

Coding challenge for this video:
https://github.com/llSourcell/....How-to-Generate-Art-

Itai's winning code:
https://github.com/etai83/lstm_stock_prediction

Andreas' runner up code:
https://github.com/AndysDeepAb....stractions/How-to-Pr

More learning resources:
https://harishnarayanan.org/wr....iting/artistic-style
https://ml4a.github.io/ml4a/style_transfer/
http://genekogan.com/works/style-transfer/
https://arxiv.org/abs/1508.06576
https://jvns.ca/blog/2017/02/12/neural-style/

Style transfer apps:
http://www.pikazoapp.com/
http://deepart.io/
https://artisto.my.com/
https://prisma-ai.com/

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Song at the beginning is called Everyday by Carly Comando
jurassic park inception visualization is from http://www.pyimagesearch.com/2....015/07/06/bat-countr
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