Coursera Deep Learning 解题集合 (已更新完毕)
ex01-Introduction to deep learning.md
ex02-Neural Networks Basics.md
ex03-Shallow 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
ex01-Practical aspects of Deep Learning.md
ex02-Optimization algorithms.md
ex03-Hyperparameter tuning, Batch Normalization, Programming Frameworks.md
01 Bird recognition in the city of Peacetopia (case study)
02 Autonomous driving (case study)
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