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项目作者：
zhhu1996
项目描述 ：
Andrew Ng(吴恩达)
高级语言：
Jupyter Notebook
项目主页：
项目地址:
git://github.com/zhhu1996/Coursera-Deep-Learning-Specialization.git
创建时间：
2018-10-03T14:06:32Z
项目社区：
https://github.com/zhhu1996/Coursera-Deep-Learning-Specialization
开源协议：
下载
Deep Learning Specialization
介绍
这是coursera上吴恩达老师开设的深度学习专业课程，课件，作业，测验都在这里，供大家参考。
课程资源
Course 1: Neural Networks and Deep Learning
课件
1. Introduction to Deep Learning
2. Neural Networks Basics
3. Shallow Neural Networks
4. Deep Neural Networks
测验
Week 1 Quiz - Introduction to deep learning
Week 2 Quiz - Neural Network Basics
Week 3 Quiz - Shallow Neural Networks
Week 4 Quiz - Key concepts on Deep Neural Networks
作业
1. Logistic Regression with a Neural Network mindset
2. Python Basics With Numpy
3. Planar data classification with one hidden layer
4. Building your Deep Neural Network Step by Step
5. Deep Neural Network Application
知识点小结
Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
课件
1. Practical aspects of Deep Learning
2. Optimization algorithms
3. Hyperparameter tuning, Batch Normalization and Programming Frameworks
测验
Week 1 Quiz - Practical aspects of deep learning
Week 2 Quiz - Optimization algorithms
Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks
作业
1. Initialization
2. Gradient Checking
3. Regularization
4. Optimization methods
5. Tensorflow Tutorial
知识点小结
Course 3: Structuring Machine Learning Projects
课件
1. ML Strategy_1
2. ML Strategy_2
测验
Week 1 Quiz - Bird recognition in the city of Peacetopia (case study)
.md)
Week 2 Quiz - Autonomous driving (case study)
.md)
作业
知识点小结
Course 4: Convolutional Neural Networks
课件
1. Foundations of Convolutional Neural Networks
2. Deep convolutional models case studies
3. Object detection
4. Special applications Face recognition & Neural style transfer
测验
作业
1. Convolution model Step by Step
2. Convolution model Application
3. Keras Tutorial Happy House
4. Residual Networks
5. Autonomous driving application Car detection
6. Face Recognition for the Happy House
7. Art Generation with Neural Style Transfer
知识点小结
Course 5: Sequence Models
课件
1. Recurrent Neural Networks
2. Natural Language Processing & Word Embeddings
3. Sequence models & Attention mechanism
测验
作业
1. Building a Recurrent Neural Network Step by Step
2. Dinosaurus Island Character level language model final
3. Improvise a Jazz Solo with an LSTM Network
4. Emojify
5. Operations on word vectors
6. Neural machine translation with attention
7. Trigger word detection
知识点小结
里程碑
2018.12.1完成，yeah！
