Coursera - Neural Networks for Machine Learning (University of Toronto) .

Download Now

Coursera - Neural Networks for Machine Learning (University of Toronto) .

Coursera - Neural Networks for Machine Learning (University of Toronto)
WEBRip | English | MP4 + PDF slides | 960 x 540 | AVC ~25.2 kbps | 15 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | ~17 hours | 979 MB
Genre: eLearning Video / Artificial Neural Network, Machine Learning (ML) Algorithms

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

About the Course:
Neural networks use learning algorithms that are inspired by our understanding of how the brain learns, but they are evaluated by how well they work for practical applications such as speech recognition, object recognition, image retrieval and the ability to recommend products that a user will like. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods. They are already at the heart of a new generation of speech recognition devices and they are beginning to outperform earlier systems for recognizing objects in images. The course will explain the new learning procedures that are responsible for these advances, including effective new proceduresr for learning multiple layers of non-linear features, and give you the skills and understanding required to apply these procedures in many other domains.

Lecture 1: Introduction
Lecture 2: The Perceptron learning procedure
Lecture 3: The backpropagation learning proccedure
Lecture 4: Learning feature vectors for words
Lecture 5: Object recognition with neural nets
Lecture 6: Optimization: How to make the learning go faster
Lecture 7: Recurrent neural networks
Lecture 8: More recurrent neural networks
Lecture 9: Ways to make neural networks generalize better
Lecture 10: Combining multiple neural networks to improve generalization
Lecture 11: Hopfield nets and Boltzmann machines
Lecture 12: Restricted Boltzmann machines (RBMs)
Lecture 13: Stacking RBMs to make Deep Belief Nets
Lecture 14: Deep neural nets with generative pre-training
Lecture 15: Modeling hierarchical structure with neural nets
Lecture 16: Recent applications of deep neural nets

General
Complete name : 10_Lecture10\03_The_idea_of_full_Bayesian_learning_7_min.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 8.39 MiB
Duration : 7 min 27 s
Overall bit rate : 157 kb/s
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Writing application : Lavf53.29.100

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : [email protected]
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 7 min 27 s
Bit rate : 25.2 kb/s
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 15.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.003
Stream size : 1.34 MiB (16%)
Writing library : x264 core 120 r2120 0c7dab9
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=15 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00

Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 7 min 27 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 6.83 MiB (81%)
Default : Yes
Alternate group : 1
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00

Screenshots


Coursera - Neural Networks for Machine Learning (University of Toronto) .

Coursera - Neural Networks for Machine Learning (University of Toronto) .

Coursera - Neural Networks for Machine Learning (University of Toronto) .


Download link:

uploadgig_com:
https://uploadgig.com/file/download/d0E3ce83706C8927/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part01.rar
https://uploadgig.com/file/download/6f1A6fD97eBf5d43/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part02.rar
https://uploadgig.com/file/download/F4b342cFD492b585/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part03.rar
https://uploadgig.com/file/download/f48Ce714570115d5/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part04.rar
https://uploadgig.com/file/download/71fd9603ac2f2d2f/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part05.rar
https://uploadgig.com/file/download/50FC4d35d533ca37/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part06.rar
https://uploadgig.com/file/download/058fdd07b535441b/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part07.rar
https://uploadgig.com/file/download/5b9e091a377846A5/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part08.rar
https://uploadgig.com/file/download/508caff2F607365d/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part09.rar
https://uploadgig.com/file/download/2422DdE54Cc0a1c0/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part10.rar

rapidgator_net:
https://rapidgator.net/file/499557ae9b64f2deac9fe0af4c84abd0/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part01.rar.html
https://rapidgator.net/file/9ae6e34ed2f217cae7dc1f7cbb4c4cdb/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part02.rar.html
https://rapidgator.net/file/04189c1e96e3f80cd4bc4aa21b69bc85/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part03.rar.html
https://rapidgator.net/file/802f1bf119abc967e5b31be760683b33/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part04.rar.html
https://rapidgator.net/file/fb4a8e8fa885c01cd780f740d9c8d507/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part05.rar.html
https://rapidgator.net/file/8dd2920f1c6c5d4293488dcf47308283/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part06.rar.html
https://rapidgator.net/file/96a09d01456b5dfa3be86624898f30ec/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part07.rar.html
https://rapidgator.net/file/d7eb0db46ca3b81dfe3103f3cc6c94b0/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part08.rar.html
https://rapidgator.net/file/4d11838e8796ba39f7ce224d92c88dbf/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part09.rar.html
https://rapidgator.net/file/113f37959bdf43953bcf797c2d5efd9d/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part10.rar.html

nitroflare_com:
http://nitroflare.com/view/5CAEF1B7937AB7A/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part01.rar
http://nitroflare.com/view/8D4AA2B81ABBF6B/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part02.rar
http://nitroflare.com/view/2FD6DCE26494DD6/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part03.rar
http://nitroflare.com/view/4B5A7B27D652EE5/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part04.rar
http://nitroflare.com/view/D21C25035F865D4/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part05.rar
http://nitroflare.com/view/49729B3024A6A86/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part06.rar
http://nitroflare.com/view/0C60AF4B1714C03/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part07.rar
http://nitroflare.com/view/7948AA53D9FFAD9/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part08.rar
http://nitroflare.com/view/269416CD3CF5742/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part09.rar
http://nitroflare.com/view/64C7523FA24B060/sq5li.Coursera..Neural.Networks.for.Machine.Learning.University.of.Toronto.part10.rar


Links are Interchangeable - No Password - Single Extraction
Direct Download

Tags: Coursera, Neural, Networks, Machine, Learning, University, Toronto

Coursera - Neural Networks for Machine Learning (University of Toronto) . from rapidshare mediafire megaupload hotfile, Coursera - Neural Networks for Machine Learning (University of Toronto) . via torrent or emule, full free Coursera - Neural Networks for Machine Learning (University of Toronto) ., Coursera - Neural Networks for Machine Learning (University of Toronto) . rar zip password or anything related.

Comments:

Name:*
E-Mail:*
Add Comments:
Enter Code: *