-
86.59.194.248 · Lecture 10 -- Video & NLP-1.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 527fe7f9e529088d1fdd7e022d90455ababc32ac SHA256: 056af99c34f403b9ba07933b5906ca0c73475648cccab02b72c1119bdeb89727 application/vnd.openxmlformats-officedocument.presentationml.presentation 166.65MB
2023-12-25 21:54:50 +0000 UTC
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86.59.194.248 · Lecture 9 modified 2022 Autumn -- Human-Machine Interaction.pdf
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: b6bec99b4fc7d2b80cec0460255032f381f1d9b2 SHA256: 0dc992eec8d25bb8c96c6d34071b1c03f9c0d5c6cee2be1604fb91ae21127e81 application/pdf 5.15MB
2023-12-25 21:54:32 +0000 UTC
-
86.59.194.248 · Lecture 9 modified 2022 Autumn -- Human-Machine Interaction - no-auti.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 156fc789c9180076be3409ed54353bce3e1199cc SHA256: 873e3830ea961a1245985a9dbc1870c7439bde8cff0c5659c85c5133b28f0a51 application/vnd.openxmlformats-officedocument.presentationml.presentation 129.68MB
2023-12-25 21:54:55 +0000 UTC
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86.59.194.248 · Lecture 8 -- Control and Robots.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: c75dab2d30922266dcf21968e9b440246ef06e27 SHA256: 3e4ca1a5def482d05de0713b0195cfb38d8cb9f80d99c6e5397d75d551cf203d application/vnd.openxmlformats-officedocument.presentationml.presentation 227.76MB
2023-12-25 21:55:50 +0000 UTC
-
86.59.194.248 · Lecture 8 -- Control and Robots-1.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 665c42656f152e4b252511393a74370e5dcc6203 SHA256: 4f764294f7d14a7db5eae89fe60f7874f3263f7ce64f51151e68e3f0c86ca704 application/vnd.openxmlformats-officedocument.presentationml.presentation 227.76MB
2023-12-25 21:55:31 +0000 UTC
-
86.59.194.248 · Lecture 7 -- Low dimensional embedding.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: cb28a58a94ad5039c7450a295d528adf23fc492f SHA256: 0e6858a9f46581504ed54d93c7f23cefce1dd3e37eedd072275b58cb40ed2036 application/vnd.openxmlformats-officedocument.presentationml.presentation 1.48MB
2023-12-25 21:54:32 +0000 UTC
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86.59.194.248 · Lecture 6 -- Image and Video Processing.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 159b8e3a4fa280940b70c4bcf7d47d637cc2171e SHA256: 8559eb9d53254c2c4ede650d96de43054e7dc320c525c3e84197bec944cacf84 application/vnd.openxmlformats-officedocument.presentationml.presentation 93.25MB
2023-12-25 21:55:12 +0000 UTC
-
86.59.194.248 · Lecture 5 -- Goal oriented systems 1.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 41fda07d0536eebf0a988dfd3d7464074b95f125 SHA256: 2c944c0736bae9fc83e572293bdd90e655b6e588e23a64ef2f76df001d1672f6 application/vnd.openxmlformats-officedocument.presentationml.presentation 83.92MB
2023-12-25 21:54:20 +0000 UTC
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86.59.194.248 · Lecture 4 -- Cognition - autoencoder -- IQ and making sense.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 045ec797dd4228f5e15feff4a8cd5850285b547b SHA256: 3f8cfda105c4ed294b892845dabd815b712c97c7ff6f9533e37a21ad567a9634 application/vnd.openxmlformats-officedocument.presentationml.presentation 2.55MB
2023-12-25 21:55:13 +0000 UTC
-
86.59.194.248 · Lecture 3-- Key problems of AI and HI.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: d2ad0090f1b477350be57d027efecac699496d07 SHA256: 59dd08160280f69a108a639f98dd9ba78410846340bd2cfbb6dc72f7954771a4 application/vnd.openxmlformats-officedocument.presentationml.presentation 4.41MB
2023-12-25 21:54:31 +0000 UTC
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86.59.194.248 · Lecture 2 -- Basic Math -- GOFAI -- Artificial Neural Networks Basics-1.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: 06ff2cc27f7e3e56ff3f6d6f6473dcfe98b5eae2 SHA256: bfe4346923f0108b3b3b71069b383a7c679a6db3c0b015208ec5678a24148acb application/vnd.openxmlformats-officedocument.presentationml.presentation 1.79MB
2023-12-25 21:54:30 +0000 UTC
-
86.59.194.248 · Lecture 1 -- Intro -- Goals -- Syllabus -- Homeworks -- Exam.pptx
/elte/class_materials/felev4/Introduction to Machine Learning/
Hungary · Magyar Telekom plc.SHA1: aa743ea5c5a8632deef3efa2813892bbd4fdeb0f SHA256: 3ee1f1cabff093cb734d582f4f049bf0945e0e66cf8303fc3b639afa534bf94a application/vnd.openxmlformats-officedocument.presentationml.presentation 3.59MB
2023-12-25 21:54:50 +0000 UTC
-
SHA1: e704aec7da6c3ba294db1bd94e4f0bd62a4a6aff SHA256: d5752083a6ff508480a556d7940d085c8a65bc5bb744baf51412b5318d76db37 341.00B
2023-12-25 21:53:53 +0000 UTC
-
86.59.194.248 · t4gy02.agda
/elte/class_materials/felev3/tipuselmelet/gy/
Hungary · Magyar Telekom plc.SHA1: 889aa056d18650de60cc45435d759abf523c2d60 SHA256: 646c43c7733d1aad4b3bc1f8ed7e76da65a1bfa7b45ad4bd248c94d8bcf90d28 2.34KB
2023-12-25 21:57:50 +0000 UTC
-
86.59.194.248 · lib.agda
/elte/class_materials/felev3/tipuselmelet/gy/
Hungary · Magyar Telekom plc.SHA1: 20fd7e760d9321ce80063d641cdd98fc3a37ab1a SHA256: 9fa5edfc216da6e3c0370ad32a07425067eacdd17082403d68f659214438553a 1.09KB
2023-12-25 21:57:50 +0000 UTC
-
SHA1: 9d90a32016bdc527a0e9cc687e9ba711bd70aeb8 SHA256: 0ec5b1c787c74031fef6747b46660463d27bce55c088680161fcc5371802b6a0 1.79KB
2023-12-25 21:57:50 +0000 UTC
-
86.59.194.248 · gy10.agda
/elte/class_materials/felev3/tipuselmelet/gy/
Hungary · Magyar Telekom plc.SHA1: 54bd01dcdeb9af46c803d9c7f2afce0737f6b4d3 SHA256: d823f2cfa4c3754c388e0736314938c804a03194f7b32b6516e3f54fbe132e0c 5.20KB
2023-12-25 21:57:50 +0000 UTC
-
86.59.194.248 · gy09.agda
/elte/class_materials/felev3/tipuselmelet/gy/
Hungary · Magyar Telekom plc.SHA1: f848d14c79f4a795249087e9d7a1f7bbbff183e8 SHA256: 30ea59022617877cb298ead1deea22e873a37ff78e22c6b9edad636cb8c24b90 4.43KB
2023-12-25 21:57:50 +0000 UTC
-
86.59.194.248 · gy04.agda
/elte/class_materials/felev3/tipuselmelet/gy/
Hungary · Magyar Telekom plc.SHA1: c3ed7104307793838dd6de236766d71a6dbeee6d SHA256: a94901327f4194c853eab24a3377eeda85be5c73f39708abc6516fc3ec04ae68 3.63KB
2023-12-25 21:57:50 +0000 UTC
-
86.59.194.248 · gy03.agda
/elte/class_materials/felev3/tipuselmelet/gy/
Hungary · Magyar Telekom plc.SHA1: 3ccbe2cb7192f71605055a4a72099986edea9fcd SHA256: 05e993c647a80c14c91731552de48fe35e5a3490c90c0cd004f0c90bae34b02e 2.70KB
2023-12-25 21:57:50 +0000 UTC