Search for tag: "neural networks"

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54:00 MLP Interviews - Maximiliana Behnke MLP Interviews - Maximiliana Behnke	MLP Interviews - Maximiliana Behnke Machine Learning Practical interviews - Winter 2020 - Session 3/4. Maximiliana Behnke is a PhD student at the Univeristy of Edinburgh focussing on "Natural Language Processing" (NLP),… machine learning dep learning nlp natural language processing machine translation transformers rnns recurrent neural networks autoencoders optimisers translation machine language model languages models lot sentences english quality output words lake word text students thing task questions From Pavlos Andreadis on December 8th, 2020 1 likes 20 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
01:54:13 MLP Advanced NN Tutorial 02 - Relational… MLP Advanced NN Tutorial 02 - Relational Networks; Generative Adversarial Networks; HyperNetworks	MLP Advanced NN Tutorial 02 - Relational Networks; Generative Adversarial Networks; HyperNetworks Machine Learning Practical advanced tutorial (optional) - Session 2 (Week 8). machine learning deep learning relational neural networks .generative adversarial networks hypernetworks network weights layer things thing kind layers stuff idea inputs model features weight paper sense week function networks input loss From Pavlos Andreadis on November 16th, 2020 1 likes 30 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
01:54:44 MLP Advanced NN Tutorial 01 - Relational Networks MLP Advanced NN Tutorial 01 - Relational Networks	MLP Advanced NN Tutorial 01 - Relational Networks Machine Learning Practical advanced tutorial (optional) - Session 1 (Week 7). machine learning deep learning relational networks convolutional neural networks From Pavlos Andreadis on November 6th, 2020 1 likes 60 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:52 Preliminaries - perceptrons Preliminaries - perceptrons	Preliminaries - perceptrons Preliminaries - perceptrons iaml neural networks perceptron function regression 990s computer perceptrons hat gradient kind minus step sigmoid networks bit update direction rosenblatt rule architecture linear From Nigel Goddard on November 12th, 2016 1 likes 1,831 plays 0 Licence Type Creative Commons - Attribution
03:06 Applications Applications	Applications Neural Networks: Applications iaml neural networks linear advantages method basis class networks word language applications functions thing brain boundary decision recognition speech problem classification kind network From Nigel Goddard on September 25th, 2016 1 likes 925 plays 0 Licence Type Creative Commons - Attribution
07:33 Training an ANN Training an ANN	Training an ANN Training an ANN iaml neural networks weight gradient error minima output backpropagation respect network networks descent derivative thing class regression training algorithm units weights probability optimization From Nigel Goddard on September 25th, 2016 1 likes 1,121 plays 0 Licence Type Creative Commons - Attribution
03:52 Representation Power Representation Power	Representation Power Representation Power iaml neural networks function network input layers kolmogorov power hood signal theorem kind space parts bit functions units lot layer networks decision methods From Nigel Goddard on September 25th, 2016 1 likes 1,042 plays 0 Licence Type Creative Commons - Attribution
03:00 Network Parameters Network Parameters	Network Parameters Network Parameters iaml neural networks things function thing networks network algorithm basis fact units parameters lot crank art shape features layer layers structure assignment experience From Nigel Goddard on September 25th, 2016 1 likes 1,066 plays 0 Licence Type Creative Commons - Attribution
01:45 Deeper Neural Networks Deeper Neural Networks	Deeper Neural Networks Deeper Neural Networks iaml neural networks layers networks network layer guy kind feedforward function guys reason units input representation feature class bit loop feed graph acyclic From Nigel Goddard on September 25th, 2016 1 likes 1,095 plays 0 Licence Type Creative Commons - Attribution
02:58 Multiclass Prediction Multiclass Prediction	Multiclass Prediction Multiclass Prediction iaml neural networks class output probability units activation sum thing network vector classes regression trick function things node multiclass scores m. score bed From Nigel Goddard on September 25th, 2016 1 likes 1,136 plays 0 Licence Type Creative Commons - Attribution
03:30 Predicting Predicting	Predicting Predicting iaml neural networks thing regression units linear network function output classification class slide input weight unit sigmoid functions o. v2 sum prediction binary From Nigel Goddard on September 25th, 2016 1 likes 1,316 plays 0 Licence Type Creative Commons - Attribution
03:09 Neural Units Neural Units	Neural Units Neural Units iaml neural networks neuron class sum kind thing analogy function classification linear unit bit neurons axon activation weights features instance output feature units From Nigel Goddard on September 25th, 2016 1 likes 1,271 plays 0 Licence Type Creative Commons - Attribution
03:39 Topic Overview Topic Overview	Topic Overview Topic Overview iaml neural networks methods method features regression classification linear things bit end networks clustering thing brain analogy algorithm lot quote rug setting kind From Nigel Goddard on September 25th, 2016 1 likes 1,302 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "neural networks"

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