最实用的深度学习教程 Practical Deep Learning For Coders (Kaggle 冠军 Jeremy Howard 亲授)
2017-11-22 09:30
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Jeremy Howard 在业界可谓大名鼎鼎。他是大数据竞赛平台 Kaggle 的前主席和首席科学家。他本人还是 Kaggle 的冠军选手。他是美国奇点大学(Singularity University)最年轻的教职工。曾于 2014 年,作为全球青年领袖,在达沃斯论坛上发表主题演讲。他在 TED 上的演讲 The wonderful and terrifying implications of computers that can learn 收获高达 200 万的点击。同时,他还创立了 Enlitic,
FastMail,以及 Optimal Decisions Group 三家科技公司,并担任 CEO。
2017 年Jeremy Howard 又创立了
Fast AI 技术分享平台,免费提供关于深度学习技术的系列视频教程,以帮助从业者迅速开发人工智能相关产品。
咪博士吐血推荐的深度学习教程,由 Jeremy Howard 亲自讲授。它是一门实战性极强的课程。身为 Kaggle 竞赛冠军的 Jeremy Howard 将亲自教你如何打造业界最好的深度神经网络。Jeremy Howard 在课程中分享了那些真正在工程实践中使用过,并且证明行之有效的方法,而不仅仅是那些理论上的定义和公式!
该课程分为上、下两部。每一部,包含大约 7 个视频,约 20 个小时的时长。下面是课程目录:
Part 1: Practical Deep Learning For Coders
How to set up your AWS deep learning server
01. Recognizing cats and dogs
02. Convolutional neural networks
00. Why deep learning & Intro to convolutions
03. Under fitting and over fitting
04. Collaborative filtering, embeddings, and more
05. Intro to NLP and RNNs
06. Building RNNs
07. Exotic CNN architectures & RNN from scratch
Bilibili 传送门:https://www.bilibili.com/video/av10156946/
Part 2: Cutting Edge Deep Learning For Coders
08. Artistic Style
09. Generative Models
10. Multi-modal & GANs
11. Memory Networks
12. Attentional Models
13. Neural Translation
14. Time Series & Segmentation
Bilibili 传送门:https://www.bilibili.com/video/av12679341/
原文链接:http://www.ipaomi.com/2017/11/17/最实用的深度学习教程-practical-deep-learning-for-coders-kaggle-冠军-jeremy-howard-亲授/
原文
FastMail,以及 Optimal Decisions Group 三家科技公司,并担任 CEO。
2017 年Jeremy Howard 又创立了
Fast AI 技术分享平台,免费提供关于深度学习技术的系列视频教程,以帮助从业者迅速开发人工智能相关产品。
咪博士吐血推荐的深度学习教程,由 Jeremy Howard 亲自讲授。它是一门实战性极强的课程。身为 Kaggle 竞赛冠军的 Jeremy Howard 将亲自教你如何打造业界最好的深度神经网络。Jeremy Howard 在课程中分享了那些真正在工程实践中使用过,并且证明行之有效的方法,而不仅仅是那些理论上的定义和公式!
该课程分为上、下两部。每一部,包含大约 7 个视频,约 20 个小时的时长。下面是课程目录:
Part 1: Practical Deep Learning For Coders
How to set up your AWS deep learning server
01. Recognizing cats and dogs
02. Convolutional neural networks
00. Why deep learning & Intro to convolutions
03. Under fitting and over fitting
04. Collaborative filtering, embeddings, and more
05. Intro to NLP and RNNs
06. Building RNNs
07. Exotic CNN architectures & RNN from scratch
Bilibili 传送门:https://www.bilibili.com/video/av10156946/
Part 2: Cutting Edge Deep Learning For Coders
08. Artistic Style
09. Generative Models
10. Multi-modal & GANs
11. Memory Networks
12. Attentional Models
13. Neural Translation
14. Time Series & Segmentation
Bilibili 传送门:https://www.bilibili.com/video/av12679341/
原文链接:http://www.ipaomi.com/2017/11/17/最实用的深度学习教程-practical-deep-learning-for-coders-kaggle-冠军-jeremy-howard-亲授/
原文
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