Basics of AI And Deep Learning

LectureNotes
Name Type Size Modified
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PDF BAIDL_25_Lecture_01_IntroductionAndOptimization_notes.pdf PDF 631.9 KB 2025-03-04 16:21
PDF BAIDL_25_Lecture_02_RegressionAndClassification_notes.pdf PDF 662.7 KB 2025-03-04 21:02
PDF BAIDL_25_Lecture_03_Learning_notes.pdf PDF 712.7 KB 2025-03-10 08:18
PDF BAIDL_25_Lecture_04_ArtificialNeuralNetworks_notes.pdf PDF 780.9 KB 2025-03-17 15:02
PDF BAIDL_25_Lecture_05_PracticalDatasets_notes.pdf PDF 1.0 MB 2025-03-26 20:01
PDF BAIDL_25_Lecture_06_IntroductionToImageProcessing_notes.pdf PDF 1.3 MB 2025-04-03 16:41
PDF BAIDL_25_Lecture_07_Segmentation_notes.pdf PDF 801.8 KB 2025-04-11 08:12
PDF BAIDL_25_Lecture_08_ImageFeatures_notes.pdf PDF 800.6 KB 2025-04-23 09:48
PDF BAIDL_25_Lecture_09_VideoProcessing_notes.pdf PDF 577.9 KB 2025-05-05 08:55
PDF BAIDL_25_Lecture_10_FromShallowToDeepLearning_notes.pdf PDF 825.7 KB 2025-05-06 17:59
PDF BAIDL_25_Lecture_11_ReinforcementAndImageGeneration_notes.pdf PDF 1.3 MB 2025-05-11 10:15
PDF BAIDL_25_Lecture_12_Transformers_notes.pdf PDF 648.0 KB 2025-05-17 20:43
PDF BAIDL_25_Lecture_13_PracticalSkillsetAndMindset_notes.pdf PDF 459.7 KB 2025-05-23 18:11
PDF BAIDL_25_Lecture_14_BroadAIPictureAndEthics_notes.pdf PDF 782.9 KB 2025-05-24 14:39