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Chapter 9 Neural Network Learning-Machine Learning Teacher's Writing-Professor Stanford Professor Wu Enda
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2020-04-13 21:31:03
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Chapter 9 Neural Network Learning
9.1 Cost function
9.2 Back propagation algorithm
9.3 Intuitive understanding of back propagation
9.4 Usage Note: Expand parameters
9.5 Gradient detection
9.6 Random initialization
9.7 Get together
9.8 Back propagation example: autonomous driving
9.1 Cost function
9.2 Back propagation algorithm
9.3 Intuitive understanding of back propagation
9.4 Usage Note: Expand parameters
9.5 Gradient detection
9.6 Random initialization
9.7 Get together
9.8 Back propagation example: autonomous driving
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Jichao Zhao
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Chapter 9 Neural Network Learning-Machine Learning Teacher's Writing-Professor Stanford Professor Wu Enda
Chapter VII Regularization-Machine Learning Teacher's Writing-Professor Stanford Wu Enda
Chapter 1 Introduction-Machine Learning Teacher's Writing-Professor Stanford Wu Enda
Chapter Eleven Machine Learning System Design-Machine Learning Teacher Writing-Professor Stanford Wu Enda
Chapter 10 Recommendations for Using Machine Learning-Machine Learning Teacher's Chalkboard-Professor Stanford Wu Enda
Chapter 6 Logistic Regression-Machine Learning Teacher's Writing Board-Professor Stanford Wu Enda
Chapter Sixteen Recommendation System-Machine Learning Teacher's Writing Board-Professor Stanford Wu Enda
Chapter 4 Multivariate Linear Regression-Machine Learning Teacher's Book-Professor Stanford Wu Enda
Chapter Fifteen Anomaly Detection-Machine Learning Teacher's Chalkboard-Professor Stanford Wu Enda
Chapter Thirteen-Machine Learning Teacher's Chalkboard-Professor Stanford Wu Enda
Chapter Twelve Support Vector Machines-Machine Learning Teacher's Chalkboard-Professor Stanford Wu Enda
Chapter Fourteenth Dimensional Reduction Operation-Machine Learning Teacher's Chalkboard-Professor Stanford Wu Enda
Chapter 2 Univariate Linear Regression-Machine Learning Teacher's Writing Board-Professor Stanford Wu Enda
Chapter Eleven Machine Learning System Design-Machine Learning Teacher Writing-Professor Stanford Wu Enda
3.10 Deep Learning Framework-Deep Learning Second Lesson "Improving Deep Neural Networks"-Professor Stanford Wu Enda
1.2 Orthogonalization-The third lesson of deep learning "Structured Machine Learning Project"-Professor Stanford Wu Enda
0.0 Table of Contents-The Third Lesson of Deep Learning "Structured Machine Learning Project"-Professor Stanford Wu Enda
1.5 Training / Development / Testing Partition-Deep Learning Lesson 3 "Structured Machine Learning Project" -Professor Stanford Wu Enda
1.1 Why ML strategy is needed-Deep Learning Lesson 3 "Structured Machine Learning Project"-Professor Stanford Wu Enda
1.4 Satisfying and optimizing indicators-Deep Learning Lesson 3 "Structured Machine Learning Project"-Professor Stanford Wu Enda
1.6 The size of the development set and test set-Deep Learning Lesson 3 "Structured Machine Learning Project"-Professor Stanford Wu Enda
1.10 Understanding Human Performance-The Third Course of Deep Learning "Structured Machine Learning Project"-Professor Stanford Wu Enda
1.9 Errors can be avoided-Deep Learning Lesson 3 "Structured Machine Learning Project"-Professor Stanford Wu Enda
1.8 Why is human performance-Deep Learning Lesson 3 "Structured Machine Learning Project" -Professor Stanford Wu Enda
3.3 Practical training of hyperparameters: Pandas vs. Caviar-Deep Learning Lesson 2 "Improving Deep Neural Networks"-Professor Stanford Wu Enda
Capítulo 17 Em grande escala Machine Learning-Machine Learning Teacher Writing Board-Professor Stanford Wu Enda
Chapitre dix-huit exemples d'application: Photo OCR-Machine Learning Teacher Writing-Professor Stanford Wu Enda
Capítulo dezoito Exemplos de aplicação: Photo OCR-Machine Learning Teacher Writing-Professor Stanford Wu Enda
Chapitre douze Support Vector Machines-Machine Learning Machine Writing-Professor Stanford Wu Enda
Chapitre 10 Recommandations pour l'utilisation du Machine Learning-Machine Learning Teacher Chalkboard-Professor Stanford Wu Enda
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