From 5f614dd56700775d6af2ad506f3ca1dfc9692e7a Mon Sep 17 00:00:00 2001
From: Tudero Li <33458031+Youggls@users.noreply.github.com>
Date: Wed, 27 Nov 2019 23:18:46 +0800
Subject: [PATCH 1/2] Fix error brace in README.md
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Use english '(' instead of chinese '（'.
---
 README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/README.md b/README.md
index c1cc80a..ccdd9f7 100644
--- a/README.md
+++ b/README.md
@@ -34,8 +34,7 @@ I would continue adding papers to this roadmap.
 
 **[3]** Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "**Reducing the dimensionality of data with neural networks**." Science 313.5786 (2006): 504-507. [[pdf]](http://www.cs.toronto.edu/~hinton/science.pdf) **(Milestone, Show the promise of deep learning)** :star::star::star:
 
-## 1.3 ImageNet Evolution（Deep Learning broke out from here）
-
+## 1.3 ImageNet Evolution(Deep Learning broke out from here)
 **[4]** Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "**Imagenet classification with deep convolutional neural networks**." Advances in neural information processing systems. 2012. [[pdf]](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) **(AlexNet, Deep Learning Breakthrough)** :star::star::star::star::star:
 
 **[5]** Simonyan, Karen, and Andrew Zisserman. "**Very deep convolutional networks for large-scale image recognition**." arXiv preprint arXiv:1409.1556 (2014). [[pdf]](https://arxiv.org/pdf/1409.1556.pdf) **(VGGNet,Neural Networks become very deep!)** :star::star::star:

From ed745f3d345e9cc0a48224fec91645c7b51313c8 Mon Sep 17 00:00:00 2001
From: Tudero Li <33458031+Youggls@users.noreply.github.com>
Date: Wed, 27 Nov 2019 23:20:33 +0800
Subject: [PATCH 2/2] Update README.md

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index ccdd9f7..52c11e8 100644
--- a/README.md
+++ b/README.md
@@ -35,6 +35,7 @@ I would continue adding papers to this roadmap.
 **[3]** Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "**Reducing the dimensionality of data with neural networks**." Science 313.5786 (2006): 504-507. [[pdf]](http://www.cs.toronto.edu/~hinton/science.pdf) **(Milestone, Show the promise of deep learning)** :star::star::star:
 
 ## 1.3 ImageNet Evolution(Deep Learning broke out from here)
+
 **[4]** Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "**Imagenet classification with deep convolutional neural networks**." Advances in neural information processing systems. 2012. [[pdf]](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf) **(AlexNet, Deep Learning Breakthrough)** :star::star::star::star::star:
 
 **[5]** Simonyan, Karen, and Andrew Zisserman. "**Very deep convolutional networks for large-scale image recognition**." arXiv preprint arXiv:1409.1556 (2014). [[pdf]](https://arxiv.org/pdf/1409.1556.pdf) **(VGGNet,Neural Networks become very deep!)** :star::star::star: