GitHub - lnies/CSE_446_Machine_Learning: Private Machine Learning Class at UW

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Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
Assignments		Assignments
Literature		Literature
Quiz/Week_1		Quiz/Week_1
Section_Material		Section_Material
.gitattributes		.gitattributes
.gitignore		.gitignore
446_pytorch_slides.pdf		446_pytorch_slides.pdf
Excel2LaTeX.xla		Excel2LaTeX.xla
VL_10_1_prob_models.pdf		VL_10_1_prob_models.pdf
VL_10_2_em.pdf		VL_10_2_em.pdf
VL_1_2_intro_annotated.pdf		VL_1_2_intro_annotated.pdf
VL_1_3_decisiontrees.pdf		VL_1_3_decisiontrees.pdf
VL_1_3_decisiontrees_annotated.pdf		VL_1_3_decisiontrees_annotated.pdf
VL_2_1_limitsoflearning_annotated.pdf		VL_2_1_limitsoflearning_annotated.pdf
VL_2_3_K_nearestneighbors.pdf		VL_2_3_K_nearestneighbors.pdf
VL_3_2_perceptron_annotated.pdf		VL_3_2_perceptron_annotated.pdf
VL_3_3_perceptron2.pdf		VL_3_3_perceptron2.pdf
VL_4_1_perceptron2_annotated.pdf		VL_4_1_perceptron2_annotated.pdf
VL_4_2_unsup_annotated.pdf		VL_4_2_unsup_annotated.pdf
VL_4_2_unsup_annotated_2.pdf		VL_4_2_unsup_annotated_2.pdf
VL_4_3_PCA_2.pdf		VL_4_3_PCA_2.pdf
VL_5_1_loss_annotated.pdf		VL_5_1_loss_annotated.pdf
VL_5_2_loss_annotated.pdf		VL_5_2_loss_annotated.pdf
VL_5_3_loss_annotated.pdf		VL_5_3_loss_annotated.pdf
VL_6_1_loss_annotated.pdf		VL_6_1_loss_annotated.pdf
VL_6_3_practical_annotated.pdf		VL_6_3_practical_annotated.pdf
VL_7_1_practical2_annotated.pdf		VL_7_1_practical2_annotated.pdf
VL_7_2_annotated.pdf		VL_7_2_annotated.pdf
VL_7_3_multi_class_annotated.pdf		VL_7_3_multi_class_annotated.pdf
VL_8_2_backprop_one_layer.pdf		VL_8_2_backprop_one_layer.pdf
VL_8_3_multi_layer.pdf		VL_8_3_multi_layer.pdf
VL_8_3_one_layer.pdf		VL_8_3_one_layer.pdf
VL_9_1_auto-diff.pdf		VL_9_1_auto-diff.pdf
VL_9_2_gd_nonconvex.pdf		VL_9_2_gd_nonconvex.pdf
VL_9_3_convolutional_nns.pdf		VL_9_3_convolutional_nns.pdf

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