【Course Note】Deep Learning Specialization - Andrew Ng
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# Lecture 1 - Neural Networks and Deep Learning

## [Lec1 W1: Introduction to Deep Learning](https://hackmd.io/@johnnyasd12/ryB25bNt8)

## [Lec1 W2-1: Logistic Regression as a Neural Network](https://hackmd.io/@johnnyasd12/Hyzun-NYU)

## [Lec1 W2-2: Python and Vectorization](https://hackmd.io/@johnnyasd12/SyDKCWVFI)

## [Lec1 W3: Shallow Neural Network](https://hackmd.io/@johnnyasd12/ryl2GfEFU)

## [Lec1 W4: Deep Neural Network](https://hackmd.io/@johnnyasd12/HycbmzEKI)

# Lecture 2 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

## [Lec2 W1 DataSets, Regularize, Optimization](https://hackmd.io/@johnnyasd12/rJhTMZXF8)

## [Lec2 W2: Optimization Algorithms](https://hackmd.io/@johnnyasd12/B1YXE-mY8)

## [Lec2 W3: Hyperparameter tuning, Batch Normalization and Programming Frameworks](https://hackmd.io/@johnnyasd12/rkl5SZQKU)

# Lecture 3 - Structuring Machine Learning Projects

## [Lec3 W1: ML Strategy(1)](https://hackmd.io/@johnnyasd12/HJ-5tZEt8)

## Others can see the *Machine Learning Yearning* eBook

# Lecture 4 - Convolutional Neural Networks

## [Lec4 W1: Foundations of CNN](https://hackmd.io/@johnnyasd12/SyYqB1mFU)

## [Lec4 W2: Case studies](https://hackmd.io/@johnnyasd12/rkuhdymtL)

## [Lec4 W2-2: Practical advices for using Convnets](https://hackmd.io/@johnnyasd12/HyurAJXYU)

## [Lec4 W3: Detection Algorithms](https://hackmd.io/@johnnyasd12/SkoH1xQKU)

## Lec4 W4: Special applications

### [Lec4 W4-1: Special Applications - Face recognition](https://hackmd.io/@johnnyasd12/Sk_lrlQFU)

### [Lec4 W4-2: Neural Style Transfer](https://hackmd.io/@johnnyasd12/SyZPUlQYL)

### [Lec4 W4-3: 1D and 3D Generalizations](https://hackmd.io/@johnnyasd12/SyJ2WZQY8)

# Lecture 5 - Sequence Models

## [Lec5 W1: Recurrent Neural Networks](https://hackmd.io/@johnnyasd12/BJ5SLWXFL)

## [Lec5 W2: Word Embedding](https://hackmd.io/@johnnyasd12/HJt_9bmFI)

## [Lec5 W3: Seq2seq Models](https://hackmd.io/@johnnyasd12/r15NsbQYU)