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10_neural_nets_with_keras(1).ipynb
10_neural_nets_with_keras(1).ipynb
 
 
Basics of ML.txt
Basics of ML.txt
 
 
CPSC.5440.4430.syllabus.sp21.docx
CPSC.5440.4430.syllabus.sp21.docx
 
 
CPSC.5440.4430.syllabus.sp21.jan20.docx
CPSC.5440.4430.syllabus.sp21.jan20.docx
 
 
ConfusionMatrix.docx
ConfusionMatrix.docx
 
 
Course Schedule.docx
Course Schedule.docx
 
 
Lesson D07 - Autoencoders.pptx
Lesson D07 - Autoencoders.pptx
 
 
LessonA01_ProbabilityStatistics.pdf
LessonA01_ProbabilityStatistics.pdf
 
 
LessonA02-LinearAlgebra.pdf
LessonA02-LinearAlgebra.pdf
 
 
LessonA03(b)-MatrixCalculus-Summary.pdf
LessonA03(b)-MatrixCalculus-Summary.pdf
 
 
LessonA03(c)-MatrixCalculus-Cookbook.pdf
LessonA03(c)-MatrixCalculus-Cookbook.pdf
 
 
LessonA03-MultivariateCalculus.pdf
LessonA03-MultivariateCalculus.pdf
 
 
LessonA05-InformationScience.pdf
LessonA05-InformationScience.pdf
 
 
LessonB01(a)-LinearRegression-Liang.pdf
LessonB01(a)-LinearRegression-Liang.pdf
 
 
LessonB01(a)-LinearRegression.pptx
LessonB01(a)-LinearRegression.pptx
 
 
LessonB01(b)-LogisticRegression-Liang.pdf
LessonB01(b)-LogisticRegression-Liang.pdf
 
 
LessonB02-DecisionTreeRandomForest.pptx
LessonB02-DecisionTreeRandomForest.pptx
 
 
LessonB03-Clustering_Overview.pptx
LessonB03-Clustering_Overview.pptx
 
 
LessonB03-Knn-Kmean-Liang.pdf
LessonB03-Knn-Kmean-Liang.pdf
 
 
LessonB04-SupportVectorMachine-Classical.pptx
LessonB04-SupportVectorMachine-Classical.pptx
 
 
LessonB05_PrincipalComponentAnalysis-Liang.pdf
LessonB05_PrincipalComponentAnalysis-Liang.pdf
 
 
LessonC02-BayesianNetwork.pdf
LessonC02-BayesianNetwork.pdf
 
 
LessonD01-ComputationalGraph-Backpropagation.pptx
LessonD01-ComputationalGraph-Backpropagation.pptx
 
 
LessonD02(a)-BackwardPropagationMLP-scalarVersion.pdf
LessonD02(a)-BackwardPropagationMLP-scalarVersion.pdf
 
 
LessonD02(a)-MLP-Architeture.pptx
LessonD02(a)-MLP-Architeture.pptx
 
 
LessonD02(b)-BackwardPropagation-MLP-MatrixVersion.pdf
LessonD02(b)-BackwardPropagation-MLP-MatrixVersion.pdf
 
 
LessonD02(b)-MLP-Backpropagation.pptx
LessonD02(b)-MLP-Backpropagation.pptx
 
 
LessonD03(a)-CNN-LiangBasic.pptx
LessonD03(a)-CNN-LiangBasic.pptx
 
 
LessonD03(b)-CNN-RepresentativeArthitecture-1.pptx
LessonD03(b)-CNN-RepresentativeArthitecture-1.pptx
 
 
LessonD03(c)-CNN-LiangSampleCoding (1).pptx
LessonD03(c)-CNN-LiangSampleCoding (1).pptx
 
 
LessonD03(c)-CNN-LiangSampleCoding.pptx
LessonD03(c)-CNN-LiangSampleCoding.pptx
 
 
LessonD04(a)-TrainingNN (1).pptx
LessonD04(a)-TrainingNN (1).pptx
 
 
LessonD04(a)-TrainingNN.pptx
LessonD04(a)-TrainingNN.pptx
 
 
LessonD04(b)-TrainingNN.pptx
LessonD04(b)-TrainingNN.pptx
 
 
LessonD05(a)-TrainingNN.pptx
LessonD05(a)-TrainingNN.pptx
 
 
LessonD05(b)-TrainingNN.pptx
LessonD05(b)-TrainingNN.pptx
 
 
LessonE01-GAN (1).pdf
LessonE01-GAN (1).pdf
 
 
LessonE01-GAN.pdf
LessonE01-GAN.pdf
 
 
LessonE02-ReinforcementLearning.pptx
LessonE02-ReinforcementLearning.pptx
 
 
LiangB05-PCA-Liang.pptx
LiangB05-PCA-Liang.pptx
 
 
LiangD05(a)-RNN.pptx
LiangD05(a)-RNN.pptx
 
 
LiangD05(b)-LSTM.pptx
LiangD05(b)-LSTM.pptx
 
 
LiangD06(a)-RNN.pptx
LiangD06(a)-RNN.pptx
 
 
LiangD06(b)-LSTM.pptx
LiangD06(b)-LSTM.pptx
 
 
LinearAlgebra.txt
LinearAlgebra.txt
 
 
ML Tutorials.txt
ML Tutorials.txt
 
 
Machine Setup Guide.docx
Machine Setup Guide.docx
 
 
Note Apr 12, 2021.pdf
Note Apr 12, 2021.pdf
 
 
Note Feb 8, 2021.pdf
Note Feb 8, 2021.pdf
 
 
Note Nov 4, 2020 (2).pdf
Note Nov 4, 2020 (2).pdf
 
 
Python Tutorial.txt
Python Tutorial.txt
 
 
README.md
README.md
 
 
VR Training - 05202021.docx
VR Training - 05202021.docx
 
 
[Chollet]-Deep_Learning_with_Python.pdf
[Chollet]-Deep_Learning_with_Python.pdf
 
 
imageprocessing_methodologies.png
imageprocessing_methodologies.png
 
 
stats_handout.pdf
stats_handout.pdf
 
 
vector-calculus-for-engineers.pdf
vector-calculus-for-engineers.pdf
 
 

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Machinelearning_Materials

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