# Deep Learning Specialization on Coursera
**Master Deep Learning, and Break into AI**
Instructor: [Andrew Ng](http://www.andrewng.org/)
## Introduction
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).
## What I want to say
**VERBOSE CONTENT WARNING: YOU CAN JUMP TO THE NEXT SECTION IF YOU WANT**
As a CS major student and a long-time self-taught learner, I have completed many CS related MOOCs on Coursera, Udacity, Udemy, and Edx. I do understand the hard time you spend on understanding new concepts and debugging your program. There are discussion forums on most MOOC platforms, however, even a question with detailed description may need some time to be answered. Here I released these solutions, which are **only for your reference purpose**. It may help you to save some time. And I hope you don't copy any part of the code (the programming assignments are fairly easy if you read the instructions carefully), see the quiz solutions before you start your own adventure. This course is almost the simplest deep learning course I have ever taken, but the simplicity is based on the fabulous course content and structure. It's a treasure given by deeplearning.ai team.
Currently, this repo has 3 major parts you may be interested in and I will give a list here.
## Programming Assignments
- Course 1: Neural Networks and Deep Learning
- [Week 2 - PA 1 - Logistic Regression with a Neural Network mindset](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset.ipynb)
- [Week 3 - PA 2 - Planar data classification with one hidden layer](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Planar%20data%20classification%20with%20one%20hidden%20layer.ipynb)
- [Week 4 - PA 3 - Building your Deep Neural Network: Step by Step¶](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Building%20your%20Deep%20Neural%20Network%20-%20Step%20by%20Step.ipynb)
- [Week 4 - PA 4 - Deep Neural Network for Image Classification: Application](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Deep%20Neural%20Network%20-%20Application.ipynb)
- Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- [Week 1 - PA 1 - Initialization](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Initialization.ipynb)
- [Week 1 - PA 2 - Regularization](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Regularization.ipynb)
- [Week 1 - PA 3 - Gradient Checking](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Gradient%20Checking.ipynb)
- [Week 2 - PA 4 - Optimization Methods](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Optimization%20methods.ipynb)
- [Week 3 - PA 5 - TensorFlow Tutorial](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Tensorflow%20Tutorial.ipynb)
- Course 3: Structuring Machine Learning Projects
- There is no PA for this course. But this course comes with very interesting case study quizzes.
- Course 4: Convolutional Neural Networks
- [Week 1 - PA 1 - Convolutional Model: step by step](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Convolution%20model%20-%20Step%20by%20Step%20-%20v1.ipynb)
- [Week 1 - PA 2 - Convolutional Model: application](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Convolution%20model%20-%20Application%20-%20v1.ipynb)
- [Week 2 - PA 1 - Keras - Tutorial - Happy House](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Keras%20-%20Tutorial%20-%20Happy%20House%20v1.ipynb)
- [Week 2 - PA 2 - Residual Networks](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Residual%20Networks%20-%20v1.ipynb)
- Course 5: Sequence Models
- [Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step](https://github.com/Kulbear/deep-learning-coursera/blob/master/Sequence%20Models/Building%20a%20Recurrent%20Neural%20Network%20-%20Step%20by%20Step%20-%20v2.ipynb)
- [Week 1 - PA 2 - Character level language model - Dinosaurus land](https://github.com/Kulbear/deep-learning-coursera/blob/master/Sequence%20Models/Dinosaurus%20Island%20--%20Character%20level%20language%20model%20final%20-%20v3.ipynb)
## Quiz Solutions
There are concerns that some people may use the content here to quickly ace the course so I'll no longer update any quiz solution.
- Course 1: Neural Networks and Deep Learning
- [Week 1 Quiz - Introduction to deep learning](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%201%20Quiz%20-%20Introduction%20to%20deep%20learning.md)
- [Week 2 Quiz - Neural Network Basics](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202%20Quiz%20-%20Neural%20Network%20Basics.md)
- [Week 3 Quiz - Shallow Neural Networks](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%203%20Quiz%20-%20%20Shallow%20Neural%20Networks.md)
- [Week 4 Quiz - Key concepts on Deep Neural Networks](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204%20Quiz%20-%20Key%20concepts%20on%20Deep%20Neural%20Networks.md)
- Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- [Week 1 Quiz - Practical aspects of deep learning](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%201%20Quiz%20-%20Practical%20aspects%20of%20deep%20learning.md)
- [Week 2 Quiz - Optimization algorithms](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%202%20Quiz%20-%20Optimization%20algorithms.md)
- [Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%203%20Quiz%20-%20Hyperparameter%20tuning%2C%20Batch%20Normalization%2C%20Programming%20Frameworks.md)
- Course 3: Structuring Machine Learning Projects
- [Week 1 Quiz - Bird recognition in the city of Peacetopia (case study)](https://github.com/Kulbear/deep-learning-coursera/blob/master/Structuring%20Machine%20Learning%20Projects/Week%201%20Quiz%20-%20Bird%20recognition%20in%20the%20city%20of%20Peacetopia%20(case%20study).md)
- [Week 2 Quiz - Autonomous driving (case study)](https://github.com/Kulbear/deep-learning-coursera/blob/master/Structuring%20Machine%20Learning%20Projects/Week%202%20Quiz%20-%20Autonomous%20driving%20(case%20study).md)
~~- Course 4: Convolutional Neu
没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
收起资源包目录
吴恩达deeplearning课程作业及需要的的数据包 lr_utils和datasets (164个子文件)
config 470B
description 73B
exclude 240B
FETCH_HEAD 124B
Convolution_schematic.gif 64KB
sgd_bad.gif 63KB
sgd.gif 41KB
.gitignore 1KB
HEAD 192B
HEAD 192B
HEAD 32B
HEAD 23B
pack-e78238109d50a960b1ca34842cd9a2bd49147675.idx 9KB
index 17KB
Trigger word detection - v1.ipynb 20.83MB
Deep Neural Network - Application.ipynb 1.92MB
Improvise a Jazz Solo with an LSTM Network - v1.ipynb 1.72MB
Planar data classification with one hidden layer.ipynb 1.03MB
Logistic Regression with a Neural Network mindset.ipynb 766KB
Logistic Regression with a Neural Network mindset-checkpoint.ipynb 766KB
Optimization methods.ipynb 376KB
Residual Networks - v1.ipynb 342KB
Initialization.ipynb 269KB
Regularization.ipynb 268KB
Tensorflow Tutorial.ipynb 207KB
Neural machine translation with attention - v2.ipynb 89KB
Convolution model - Application - v1.ipynb 86KB
Building a Recurrent Neural Network - Step by Step - v2.ipynb 81KB
Emojify - v2.ipynb 69KB
Keras - Tutorial - Happy House v1.ipynb 60KB
Convolution model - Step by Step - v1.ipynb 58KB
Building your Deep Neural Network - Step by Step.ipynb 57KB
Building your Deep Neural Network - Step by Step-checkpoint.ipynb 55KB
Dinosaurus Island -- Character level language model final - v3.ipynb 47KB
Operations on word vectors - v2.ipynb 30KB
Gradient Checking.ipynb 27KB
mangosaurus.jpeg 273KB
happy-house.jpg 3.78MB
my_image.jpg 1.91MB
thumbs_up.jpg 989KB
thumbs_up.jpg 989KB
cost.jpg 859KB
my_image.jpg 621KB
shakespeare.jpg 546KB
dino.jpg 467KB
jazz.jpg 226KB
LICENSE 1KB
master 192B
master 172B
master 41B
master 41B
Week 2 Quiz - Autonomous driving (case study).md 11KB
README.md 9KB
Week 1 Quiz - Bird recognition in the city of Peacetopia (case study).md 7KB
Week 3 Quiz - Shallow Neural Networks.md 6KB
Week 4 Quiz - Key concepts on Deep Neural Networks.md 5KB
Week 1 Quiz - Introduction to deep learning.md 4KB
Week 2 Quiz - Optimization algorithms.md 4KB
Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks.md 3KB
Week 2 Quiz - Neural Network Basics.md 3KB
Week 1 Quiz - Practical aspects of deep learning.md 2KB
conv_kiank.mp4 8.37MB
dropout2_kiank.mp4 2.35MB
dropout1_kiank.mp4 1.63MB
pack-e78238109d50a960b1ca34842cd9a2bd49147675.pack 48.57MB
packed-refs 114B
emojiss.png 807KB
grad_summary.png 666KB
hands.png 565KB
final outline.png 557KB
house-members.png 547KB
SIGNS.png 484KB
conv1.png 468KB
signs_data_kiank.png 465KB
dataset_kiank.png 421KB
average_pool.png 413KB
woebot.png 410KB
max_pool.png 390KB
imvectorkiank.png 373KB
ave_pool1.png 345KB
a_pool.png 344KB
ave-pool.png 344KB
train_reference.png 342KB
max_pool1.png 333KB
embedding1.png 327KB
PAD.png 298KB
LlayerNN_kiank.png 279KB
attn_model.png 271KB
emojify_model.png 258KB
emo_model.png 257KB
2layerNN_kiank.png 255KB
image_1.png 240KB
model_trigger.png 227KB
mn_backward.png 218KB
emb_kiank.png 216KB
data_set.png 201KB
emojifierv1.png 198KB
sound.png 197KB
LogReg_kiank.png 187KB
music_gen.png 185KB
共 164 条
- 1
- 2
资源评论
- fishearasd2019-02-27在找这个依赖 看看怎么样
- 雾中雨结愁2018-11-27不错,正是需要的
- qq_299895652019-04-29实测没问题
- 伟豪熊2018-08-10实测有所需的数据包
csdn_jtchen
- 粉丝: 1
- 资源: 2
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功