Deep Dive into Python Machine Learning (2016)

Deep Dive into Python Machine Learning (2016)
Deep Dive into Python Machine Learning (2016)
MP4 | AVC 116kbps | English | 1280x720 | 25fps | 1h 45mins | AAC stereo 141kbps | 2.64 GB
Genre: Video Training

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.

Deep Dive into Python Machine Learning (2016)

Download link:
Uploadgig.com:
http://uploadgig.com/file/download/eF9f4d45d5b0a16b/1irki.D.D.i.P.M.L.2016.tut2u.part1.rar
http://uploadgig.com/file/download/b2b31151acc10800/1irki.D.D.i.P.M.L.2016.tut2u.part2.rar
http://uploadgig.com/file/download/38a1fe3b4635143C/1irki.D.D.i.P.M.L.2016.tut2u.part3.rar
http://uploadgig.com/file/download/58cbe126A7Ea8122/1irki.D.D.i.P.M.L.2016.tut2u.part4.rar
http://uploadgig.com/file/download/a65c5271542A6391/1irki.D.D.i.P.M.L.2016.tut2u.part5.rar
http://uploadgig.com/file/download/1b4C37a52622bdA2/1irki.D.D.i.P.M.L.2016.tut2u.part6.rar
http://uploadgig.com/file/download/1e0c7b647100e45f/1irki.D.D.i.P.M.L.2016.tut2u.part7.rar

Rapidgator:
http://rapidgator.net/file/ef3a1e5bae9d4f7e4dbaa8794bcc0ab4/1irki.D.D.i.P.M.L.2016.tut2u.part1.rar.html
http://rapidgator.net/file/55240ea3b553b04102b8a44169d4b961/1irki.D.D.i.P.M.L.2016.tut2u.part2.rar.html
http://rapidgator.net/file/d06722c5d09882fc501e87e29b729532/1irki.D.D.i.P.M.L.2016.tut2u.part3.rar.html
http://rapidgator.net/file/c21059d8a6f31b52a9e42f5f6d05d120/1irki.D.D.i.P.M.L.2016.tut2u.part4.rar.html
http://rapidgator.net/file/7c7275e8d88532887b46171cf7d20170/1irki.D.D.i.P.M.L.2016.tut2u.part5.rar.html
http://rapidgator.net/file/042e54cf4264aa4275eec6240dae3a38/1irki.D.D.i.P.M.L.2016.tut2u.part6.rar.html
http://rapidgator.net/file/af25bd57b375102422e4abeb49893d45/1irki.D.D.i.P.M.L.2016.tut2u.part7.rar.html

Nitroflare:
http://nitroflare.com/view/2CFAFACDC85DF8E/1irki.D.D.i.P.M.L.2016.tut2u.part1.rar
http://nitroflare.com/view/41AE0F4F8A2666A/1irki.D.D.i.P.M.L.2016.tut2u.part2.rar
http://nitroflare.com/view/FDA00B22822034E/1irki.D.D.i.P.M.L.2016.tut2u.part3.rar
http://nitroflare.com/view/01BAFC6E0A15DD3/1irki.D.D.i.P.M.L.2016.tut2u.part4.rar
http://nitroflare.com/view/7A3ADC392169792/1irki.D.D.i.P.M.L.2016.tut2u.part5.rar
http://nitroflare.com/view/63980FE93CC3EC2/1irki.D.D.i.P.M.L.2016.tut2u.part6.rar
http://nitroflare.com/view/39C741FF6BD9AE0/1irki.D.D.i.P.M.L.2016.tut2u.part7.rar
Links are Interchangeable - Single Extraction - Premium is support resumable

Add comment

The author will be very pleased to hear feedback about your news.

    • bowtiesmilelaughingblushsmileyrelaxedsmirk
      heart_eyeskissing_heartkissing_closed_eyesflushedrelievedsatisfiedgrin
      winkstuck_out_tongue_winking_eyestuck_out_tongue_closed_eyesgrinningkissingstuck_out_tonguesleeping
      worriedfrowninganguishedopen_mouthgrimacingconfusedhushed
      expressionlessunamusedsweat_smilesweatdisappointed_relievedwearypensive
      disappointedconfoundedfearfulcold_sweatperseverecrysob
      joyastonishedscreamtired_faceangryragetriumph
      sleepyyummasksunglassesdizzy_faceimpsmiling_imp
      neutral_faceno_mouthinnocent
reload, if the code cannot be seen

Comments 0