【深度学习，机器学习，Python 教学视频】 Deep Learning with Python (2016)

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Deep Learning with Python

Eder Santana



MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 45M | 374 MB

Dive into the future of data science and implement intelligent systems using deep learning with Python

Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.

Deep learning is the next step to machine learning with a more advanced implementation. Currently, it’s not established as an industry standard, but is heading in that direction and brings a strong promise of being a game changer when dealing with raw unstructured data. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language processing. Developers can avail the benefits of building AI programs that, instead of using hand coded rules, learn from examples how to solve complicated tasks. With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results.

This course takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understand automatic differentiation. Through the course, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of Tensorflow.

By the end of this course, you can start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.

Style and Approach
An easy-to-follow and structured video tutorial with practical examples and coding with IPython notebooks to help you get to grips with each and every aspect of deep learning.

教学视频 (MP4) 下载：

本帖隐藏的内容

Deep Learning with Python (MP4).part1.rar (90 MB, 需要: 4 个论坛币)

2017-1-27 19:10:38 上传

需要: 4 个论坛币  [购买]

Deep Learning with Python (MP4).part2.rar (90 MB, 需要: 4 个论坛币)

2017-1-27 19:01:23 上传

需要: 4 个论坛币  [购买]

Deep Learning with Python (MP4).part3.rar (90 MB, 需要: 4 个论坛币)

2017-1-27 18:51:20 上传

需要: 4 个论坛币  [购买]

Deep Learning with Python (MP4).part4.rar (90 MB, 需要: 4 个论坛币)

2017-1-27 18:39:16 上传

需要: 4 个论坛币  [购买]

Deep Learning with Python (MP4).part5.rar (14.65 MB, 需要: 4 个论坛币)

2017-1-27 18:40:26 上传

需要: 4 个论坛币  [购买]

  如果你喜欢我分享的书籍，请关注我：
https://bbs.pinggu.org/z_guanzhu.php?action=add&fuid=5975757

订阅我的文库：

【金融 + 经济 + 商学 + 国际政治】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3257

【数学 + 统计 + 计算机编程】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3258

【历史 + 心理学 + 社会自然科学】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3259

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏39 回帖

关键词：currently available regarding learning problems

学习一下

thanks                     

谢谢分享。

谢谢你的书！

LET ME SEE

风范股份跟分割分割分割

谢谢分享