My road to learn python for deep learning.

My road to learn python for deep learning.

Preface:before I started to learn python for deep learning, the author is extremely familiar with the theory ?of the deep learning. Meanwhile, the author is also familiar with two deep learning toolboxs (caffe and matconvnet). ?Since I am very interested in python language, thus I decided to learn python for deep learning.

For deep learning theory, I recommend the following materials:

Michael Nielsen:Neural Network and Deep Learning, a online book(now updated to Chapter five).

Remarks: this book is awesome, I spent two days finishing this book. Interestingly, I got the feeling when I read the Pattern Recognition and Machine Learing(PRML).

Geoffrey E. Hinton:

Neural Network for Deep Learning, the course in coursera.https://www.coursera.org/course/neuralnets

you can find many materials from the internet such as the deep learning course from stanford. I do not intend to mention them all.

What I have done:

To learn to use deep learning toolbox written in Python, such as Theano or Torch, you need to learn Python language well.If you have good knowledge to C++ and Matlab, you will find it not so hard to learn Python.

Python Skills, I recommend :

Google Python Class:https://developers.google.com/edu/python/,if you can access youtube, it will be good. you can watch the video.https://www.youtube.com/watch?v=tKTZoB2Vjuk&list=PLC8825D0450647509

Coursera course: ? https://www.coursera.org/course/pythonlearn

Numpy, Scipy, and matlabplot:

https://www.youtube.com/watch?v=oYTs9HwFGbY

Python Imaging Library:

A tutorial post by RootOfTheNull,

https://www.youtube.com/watch?v=dkrXgzuZk3k&list=PL1H1sBF1VAKXCayO4KZqSmym2Z_sn6Pha

A very good tutorial for Theano byAlec Radford:

Introduction to Deep Learning with Python

https://www.youtube.com/watch?v=S75EdAcXHKk&index=1&list=PL9Nq-Q1jocNvwnoyUIQFA1SAR9dwakhxa

Until now, for python, I have read above-mentioned content. My future plan is to follow two projects,

1: Kaggle competions on Detecting the Local of Keypoints on Face Images.

The Link: ?https://www.kaggle.com/c/facial-keypoints-detection

A very blog to Using CNN to detect facial keypoints tutorial:

http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/

2:Kaggle competions onPredict Ocean Health, one Plankton at a time

The Link:http://www.kaggle.com/c/datasciencebowl

The rank 1st method:http://benanne.github.io/2015/03/17/plankton.html

I have summitted one result to the facial keypoint detection and randed 3rd.

I will continue updating the content in future when I learn more. I do not check the language, pay attention to the contest and ignore the typos.

本文引用地址:http://blog.sciencenet.cn/blog-713652-881870.html此文來自科學(xué)網(wǎng)齊憲標(biāo)博客月洛,轉(zhuǎn)載請注明出處镇防。

最后編輯于
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請聯(lián)系作者
  • 序言:七十年代末箭启,一起剝皮案震驚了整個(gè)濱河市譬挚,隨后出現(xiàn)的幾起案子陨溅,更是在濱河造成了極大的恐慌,老刑警劉巖水泉,帶你破解...
    沈念sama閱讀 206,013評論 6 481
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件翅萤,死亡現(xiàn)場離奇詭異,居然都是意外死亡亏镰,警方通過查閱死者的電腦和手機(jī)扯旷,發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 88,205評論 2 382
  • 文/潘曉璐 我一進(jìn)店門,熙熙樓的掌柜王于貴愁眉苦臉地迎上來索抓,“玉大人钧忽,你說我怎么就攤上這事”瓶希” “怎么了惰瓜?”我有些...
    開封第一講書人閱讀 152,370評論 0 342
  • 文/不壞的土叔 我叫張陵,是天一觀的道長汉矿。 經(jīng)常有香客問我,道長备禀,這世上最難降的妖魔是什么洲拇? 我笑而不...
    開封第一講書人閱讀 55,168評論 1 278
  • 正文 為了忘掉前任,我火速辦了婚禮曲尸,結(jié)果婚禮上赋续,老公的妹妹穿的比我還像新娘。我一直安慰自己另患,他們只是感情好纽乱,可當(dāng)我...
    茶點(diǎn)故事閱讀 64,153評論 5 371
  • 文/花漫 我一把揭開白布。 她就那樣靜靜地躺著昆箕,像睡著了一般鸦列。 火紅的嫁衣襯著肌膚如雪租冠。 梳的紋絲不亂的頭發(fā)上,一...
    開封第一講書人閱讀 48,954評論 1 283
  • 那天薯嗤,我揣著相機(jī)與錄音顽爹,去河邊找鬼。 笑死骆姐,一個(gè)胖子當(dāng)著我的面吹牛镜粤,可吹牛的內(nèi)容都是我干的。 我是一名探鬼主播玻褪,決...
    沈念sama閱讀 38,271評論 3 399
  • 文/蒼蘭香墨 我猛地睜開眼肉渴,長吁一口氣:“原來是場噩夢啊……” “哼!你這毒婦竟也來了带射?” 一聲冷哼從身側(cè)響起同规,我...
    開封第一講書人閱讀 36,916評論 0 259
  • 序言:老撾萬榮一對情侶失蹤,失蹤者是張志新(化名)和其女友劉穎庸诱,沒想到半個(gè)月后捻浦,有當(dāng)?shù)厝嗽跇淞掷锇l(fā)現(xiàn)了一具尸體,經(jīng)...
    沈念sama閱讀 43,382評論 1 300
  • 正文 獨(dú)居荒郊野嶺守林人離奇死亡桥爽,尸身上長有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點(diǎn)故事閱讀 35,877評論 2 323
  • 正文 我和宋清朗相戀三年朱灿,在試婚紗的時(shí)候發(fā)現(xiàn)自己被綠了。 大學(xué)時(shí)的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片钠四。...
    茶點(diǎn)故事閱讀 37,989評論 1 333
  • 序言:一個(gè)原本活蹦亂跳的男人離奇死亡盗扒,死狀恐怖,靈堂內(nèi)的尸體忽然破棺而出缀去,到底是詐尸還是另有隱情侣灶,我是刑警寧澤,帶...
    沈念sama閱讀 33,624評論 4 322
  • 正文 年R本政府宣布缕碎,位于F島的核電站褥影,受9級特大地震影響,放射性物質(zhì)發(fā)生泄漏咏雌。R本人自食惡果不足惜凡怎,卻給世界環(huán)境...
    茶點(diǎn)故事閱讀 39,209評論 3 307
  • 文/蒙蒙 一、第九天 我趴在偏房一處隱蔽的房頂上張望赊抖。 院中可真熱鬧统倒,春花似錦、人聲如沸氛雪。這莊子的主人今日做“春日...
    開封第一講書人閱讀 30,199評論 0 19
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽。三九已至浴鸿,卻和暖如春井氢,著一層夾襖步出監(jiān)牢的瞬間,已是汗流浹背赚楚。 一陣腳步聲響...
    開封第一講書人閱讀 31,418評論 1 260
  • 我被黑心中介騙來泰國打工毙沾, 沒想到剛下飛機(jī)就差點(diǎn)兒被人妖公主榨干…… 1. 我叫王不留,地道東北人宠页。 一個(gè)月前我還...
    沈念sama閱讀 45,401評論 2 352
  • 正文 我出身青樓左胞,卻偏偏與公主長得像,于是被迫代替她去往敵國和親举户。 傳聞我的和親對象是個(gè)殘疾皇子烤宙,可洞房花燭夜當(dāng)晚...
    茶點(diǎn)故事閱讀 42,700評論 2 345

推薦閱讀更多精彩內(nèi)容