Andrew Ng depth knowledge learning point summary (review) - Code World

Andrew Ng depth knowledge learning point summary (review)

Others 2019-06-16 13:38:55 views: null

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Origin blog.csdn.net/qq_41332469/article/details/89740297

Andrew Ng depth knowledge learning point summary (review)

[Andrew Ng depth study] neural networks and deep learning

Andrew Ng "machine learning" Course summary (19) _ summary

Andrew Ng "machine learning" Course summary (12) _ unsupervised learning

Andrew Ng "machine learning" Course summary (6) _ regularization

Andrew Ng "machine learning" Course summary (2) _ univariate linear regression

Andrew Ng "machine learning" Course summary (14) _ dimensionality reduction

Andrew Ng "machine learning" Course summary (4) _ multivariate linear regression

Andrew Ng "machine learning" Course summary (10) _ Support Vector Machine

Andrew Ng "machine learning" Course summary (13) _ clustering

Andrew Ng "machine learning" Course summary (18) _ OCR Photos

Andrew Ng "machine learning" Course summary (16) _ recommendation system

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Impact of deep learning Andrew Ng depth course of study 2 the third week of practice initialization parameters tensorflow

1.2 deviation / variance - depth learning Lesson "Improving DNN" -Stanford Professor Andrew Ng

1.1 training / development / test set - depth learning Lesson "Improving DNN" -Stanford Professor Andrew Ng

1.7 Dropout- depth understanding of learning a second lesson "Improving DNN" -Stanford Professor Andrew Ng

1.3 Machine Learning Basics - Lesson depth study "Improving DNN" -Stanford Professor Andrew Ng

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Andrew Ng's Deep Learning learning record

Andrew Ng "machine learning" Course summary (7) _ non-linear hypothesis

Back-propagation algorithm Andrew Ng "machine learning" Course summary (8) _ neural network parameters

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