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This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
吴恩达机器学习系列课程的编程作业，用python实现。
mfawadakbar
# [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning) **Master Deep Learning, and Break into AI** Instructor: [Andrew Ng](http://www.andrewng.org/) This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning). ## Goals - Learn the foundations of Deep Learning - Understand how to build neural networks - Learn how to lead successful machine learning projects - Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. - Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. - Practice all these ideas in Python and in TensorFlow.
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sen1997susmit
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