From 7f2aad98cd144c8f3a48fb63c5cf015ecf511efc Mon Sep 17 00:00:00 2001 From: Chakib Benziane Date: Thu, 16 Feb 2017 02:58:22 +0100 Subject: [PATCH] Update README.md --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 42fddf9..b391b8f 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,7 @@ Translations: [Brazilian Portuguese](https://github.com/ZuzooVn/machine-learning - [Machine learning: an in-depth, non-technical guide](#machine-learning-an-in-depth-non-technical-guide) - [Stories and experiences](#stories-and-experiences) - [Machine Learning Algorithms](#machine-learning-algorithms) +- [Deep Learning Resources](#Deep-Learning-Resources) - [Beginner Books](#beginner-books) - [Practical Books](#practical-books) - [Kaggle knowledge competitions](#kaggle-knowledge-competitions) @@ -129,8 +130,10 @@ This short section were prerequisites/interesting info I wanted to learn before - [ ] [The 10 Algorithms Machine Learning Engineers Need to Know](https://gab41.lab41.org/the-10-algorithms-machine-learning-engineers-need-to-know-f4bb63f5b2fa#.ofc7t2965) - [ ] [Comparing supervised learning algorithms](http://www.dataschool.io/comparing-supervised-learning-algorithms/) -## Neural Networks for NLP + +## Deep Learning Resources - [ ] [i am trask](http://iamtrask.github.io) +- [ ] [Awesome Deep Learning Papers](https://github.com/terryum/awesome-deep-learning-papers) ## Beginner Books - [ ] [Data Smart: Using Data Science to Transform Information into Insight 1st Edition](https://www.amazon.com/Data-Smart-Science-Transform-Information/dp/111866146X)