From 8a02a8415d5608ba5cbdd95ba50ed1b61b068389 Mon Sep 17 00:00:00 2001
From: ipcenas <47504178+ipcenas@users.noreply.github.com>
Date: Tue, 17 Sep 2019 13:15:54 +0200
Subject: [PATCH 1/2] Added Machine Learning, Data Science and Deep Learning
with Python
---
README.md | 1 +
1 file changed, 1 insertion(+)
diff --git a/README.md b/README.md
index e992d6e..f1f2e73 100644
--- a/README.md
+++ b/README.md
@@ -244,6 +244,7 @@ Predictions](https://arxiv.org/pdf/1712.05884.pdf) - A [WaveNet](https://arxiv.o
- [Siraj's Channel](https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A/videos?view=0&sort=p&flow=grid) - Siraj has entertaining, fast-paced video tutorials about deep learning.
- [Two Minute Papers' Channel](https://www.youtube.com/user/keeroyz/videos?sort=p&view=0&flow=grid) - Interesting and shallow overview of some research papers, for example about WaveNet or Neural Style Transfer.
- [Geoffrey Hinton interview](https://www.coursera.org/learn/neural-networks-deep-learning/lecture/dcm5r/geoffrey-hinton-interview) - Andrew Ng interviews Geoffrey Hinton, who talks about his research and breaktroughs, and gives advice for students.
+- [Machine Learning, Data Science and Deep Learning with Python](https://www.coursera.org/learn/neural-networks-deep-learning/lecture/dcm5r/geoffrey-hinton-interview) - This liveVideo course covers machine learning, Tensorflow, artificial intelligence, and neural networks.
From 7a95d44708eba59dc421c2d9ba08a85fb358be46 Mon Sep 17 00:00:00 2001
From: ipcenas <47504178+ipcenas@users.noreply.github.com>
Date: Sat, 28 Sep 2019 15:43:39 +0200
Subject: [PATCH 2/2] Added Deep Learning with Structured Data
---
README.md | 3 +--
1 file changed, 1 insertion(+), 2 deletions(-)
diff --git a/README.md b/README.md
index f1f2e73..d95657b 100644
--- a/README.md
+++ b/README.md
@@ -63,8 +63,7 @@ I find that the key of intelligence and cognition is a very interesting subject
- [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/index.html) - This book covers many of the core concepts behind neural networks and deep learning.
- [Deep Learning - An MIT Press book](http://www.deeplearningbook.org/) - Yet halfway through the book, it contains satisfying math content on how to think about actual deep learning.
- [Some other books I have read](https://books.google.ca/books?hl=en&as_coll=4&num=100&uid=103409002069648430166&source=gbs_slider_cls_metadata_4_mylibrary_title) - Some books listed here are less related to deep learning but are still somehow relevant to this list.
-
-
+- [Deep Learning with Structured Data](https://www.manning.com/books/deep-learning-with-structured-data/) - Manning early-access book on deep learning techniques on structured data.
## Posts and Articles