A collection of links to the "Master the JavaScript Interview" series of medium stories by Eric Elliott.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
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| { | |
| "AWSAccountActivityAccess": { | |
| "Arn": "arn:aws:iam::aws:policy/AWSAccountActivityAccess", | |
| "AttachmentCount": 0, | |
| "CreateDate": "2015-02-06T18:41:18+00:00", | |
| "DefaultVersionId": "v1", | |
| "Document": { | |
| "Statement": [ | |
| { | |
| "Action": [ |
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| import 'package:flutter/material.dart'; | |
| class GoogleMapsClonePage extends StatelessWidget { | |
| @override | |
| Widget build(BuildContext context) { | |
| return Scaffold( | |
| body: Stack( | |
| children: <Widget>[ | |
| CustomGoogleMap(), | |
| CustomHeader(), |
- Feature Learning
- Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
- The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
- Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
- Scaling Learning Algorithms towards AI Benjio & LeCun
- A Theory of Feature Learning by Brendan van Rooyen, Robert C. Williamson
- Deep Learning
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
- [Understanding
- Jay Alammar's GPT blog posts
- Andrej Karpathy's nanoGPT implementation
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