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coursera's Introduction

Coursera Deep Learning 解题集合 (已更新完毕)

1 神经网络和机器学习 neural networks and deep learning

ex01-Introduction to deep learning.md

ex02-Neural Networks Basics.md

ex03-Shallow neural networks.md

ex04-Deep Neural Networks.md

02-Logistic+Regression+with+a+Neural+Network+mindset+v4.ipynb

03-Planar+data+classification+with+one+hidden+layer+v4.ipynb

04-Deep+Neural+Network+-+Application+v3.ipynb

04-Building+your+Deep+Neural+Network+-+Step+by+Step+v5.ipynb

2 改善深层神经网络-Improving Deep Neural Networks-Hyperparameter tuning-Regularization-and-Optimization

ex01-Practical aspects of Deep Learning.md

ex02-Optimization algorithms.md

ex03-Hyperparameter tuning, Batch Normalization, Programming Frameworks.md

01-Initialization.ipynb

01-Regularization.ipynb

01-Gradient+Checking+v1.ipynb

02-Optimization+methods.ipynb

03-Tensorflow+Tutorial.ipynb

3 结构化机器学习项目 Structuring Machine Learning Projects

01 Bird recognition in the city of Peacetopia (case study)

02 Autonomous driving (case study)

4 卷积神经网络

01-Convolution+model+-+Application+-+v1.ipynb

01-Convolution+model+-+Step+by+Step+-+v2.ipynb

02-Residual+Networks+-+v2.ipynb

03-Autonomous+driving+application+-+Car+detection+-+v1.ipynb

04-Art+Generation+with+Neural+Style+Transfer+-+v2.ipynb

04-Face+Recognition+for+the+Happy+House+-+v3.ipynb

exm-01 The basics of ConvNets.md

exm-02 Deep convolutional models.md

exm-03 Detection algorithms.md

exm-04 Special applications: Face recognition & Neural style transfer.md

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