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ShuaiHuang
DeepLearningNotes
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0_0_dedication.tex
0_0_dedication.tex
0_1_table_of_contents.tex
0_1_table_of_contents.tex
0_2_preface.tex
0_2_preface.tex
0_3_acknowledgements.tex
0_3_acknowledgements.tex
10_Sequence_Modeling_Recurrent_and_Recursive_Nets.tex
10_Sequence_Modeling_Recurrent_and_Recursive_Nets.tex
11_Practical_Methodology.tex
11_Practical_Methodology.tex
12_Applications.tex
12_Applications.tex
13_Linear_Factor_Models.tex
13_Linear_Factor_Models.tex
14_Autoencoders.tex
14_Autoencoders.tex
15_Representation_Learning.tex
15_Representation_Learning.tex
16_Structured_Probabilistic_Models_for_Deep_Learning.tex
16_Structured_Probabilistic_Models_for_Deep_Learning.tex
17_Monte_Carlo_Methods.tex
17_Monte_Carlo_Methods.tex
18_Confronting_the_Partition_Function.tex
18_Confronting_the_Partition_Function.tex
19_Approximate_Inference.tex
19_Approximate_Inference.tex
1_Introduction.tex
1_Introduction.tex
20_Deep_Generative_Models.tex
20_Deep_Generative_Models.tex
2_Linear_Algebra.tex
2_Linear_Algebra.tex
3_Probability_and_Information_Theory.tex
3_Probability_and_Information_Theory.tex
4_Numerical_Computation.tex
4_Numerical_Computation.tex
5_Machine_Learning_Basics.tex
5_Machine_Learning_Basics.tex
6_Deep_Feedward_Networks.tex
6_Deep_Feedward_Networks.tex
7_Regularization_for_Deep_Learning.tex
7_Regularization_for_Deep_Learning.tex
8_Optimization_for_Training_Deep_Models.tex
8_Optimization_for_Training_Deep_Models.tex
9_Convolutional_Networks.tex
9_Convolutional_Networks.tex
Deep-Learning-Reading-Note.tex
Deep-Learning-Reading-Note.tex
Makefile
Makefile
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