[Coursera] Deep Learning Specialization 강의 요약

Deep Learning Specialization(딥러닝 특화과정) 강의 요약을 모아서 정리해두었습니다.

 

1 - Neural Networks and Deep Learning

Week 1,2

2020/08/30 - [Coursera 강의/Deep Learning] - Basics of Neural Network programming (Week 1, 2)

2020/09/24 - [Coursera 강의/Deep Learning] - [실습] Logistic Regression with a Neural Network(can / non-cat classifier)

 

Week 3

2020/09/20 - [Coursera 강의/Deep Learning] - Deep Neural Network(DNN)

2020/09/25 - [Coursera 강의/Deep Learning] - [실습] Planar data classification with a hidden layer

 

Week 4

2020/09/20 - [Coursera 강의/Deep Learning] - Deep Neural Network(DNN)

2020/09/25 - [Coursera 강의/Deep Learning] - [실습] Building Deep Neural Network : Step by Step

2020/09/26 - [Coursera 강의/Deep Learning] - [실습] Deep Neural Network for Image Classification(cat vs non-cat)

2 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Week 1

2020/09/23 - [Coursera 강의/Deep Learning] - Practical aspects of Deep Learning 1

2020/09/23 - [Coursera 강의/Deep Learning] - Practical aspects of Deep Learning 2

2020/09/26 - [Coursera 강의/Deep Learning] - [실습] Initialization 초기화

2020/09/26 - [Coursera 강의/Deep Learning] - [실습] Regularization(L2 Regularization, Dropout)

2020/09/26 - [Coursera 강의/Deep Learning] - [실습] Gradient Checking

 

Week 2

2020/10/02 - [Coursera 강의/Deep Learning] - Optimization(최적화 알고리즘) : Mini-batch/Momentum/RMSprop/Adam

2020/10/02 - [Coursera 강의/Deep Learning] - [실습] Optimization Methods(Mini-batch, Momentum, Adam Algorithm)

 

Week 3

2020/10/10 - [Coursera 강의/Deep Learning] - Hyperparameter tuning / Batch Normalization

2020/10/11 - [Coursera 강의/Deep Learning] - Multi-class classification(Softmax regression)

 

3 - Structuring Machine Learning Projects

Week 1

2020/10/25 - [Coursera 강의/Deep Learning] - ML Strategy 1(orthogonalization, evaluation metric, human-level performance)

 

Week 2

2020/10/28 - [Coursera 강의/Deep Learning] - ML Strategy 2-1 (Error Analysis, Data mismatched)

2020/10/30 - [Coursera 강의/Deep Learning] - ML Strategy 2-2 (Transfer learning, Multi-task learning, End-to-end learning)

 

4 - Convolutional Neural Networks

Week 1

2020/11/08 - [Coursera 강의/Deep Learning] - Convolutional Neural Networks(CNN)

 

Week 2

2020/11/18 - [Coursera 강의/Deep Learning] - CNN (LeNet-5, AlexNet, VGG-16, ResNets, Inception Network)

 

Week 3

2020/11/22 - [Coursera 강의/Deep Learning] - Object Detection(YOLO algorithm)

 

Week 4

2020/11/30 - [Coursera 강의/Deep Learning] - Face recognition

2020/12/01 - [Coursera 강의/Deep Learning] - Neural Style Transfer

 

5 - Sequence Models

Week 1

2020/12/20 - [Coursera 강의/Deep Learning] - Recurrent Neural Networks 1 (Basic of RNN model)

2020/12/21 - [Coursera 강의/Deep Learning] - Recurrent Neural Networks 2 (GRU, LSTM, BRNN)

2020/12/21 - [Coursera 강의/Deep Learning] - [실습] Building a RNN step by step(Basic RNN, LSTM)

2020/12/21 - [Coursera 강의/Deep Learning] - [실습] Character-level Language Modeling

 

Week 2

2020/12/24 - [Coursera 강의/Deep Learning] - Introduction to Word Embeddings

2020/12/26 - [Coursera 강의/Deep Learning] - NLP and Word Embeddings: Word2vec & GloVe

2020/12/26 - [Coursera 강의/Deep Learning] - [실습] Operations on word vectors - Debiasing

 

Week 3

2020/12/28 - [Coursera 강의/Deep Learning] - Sequence models & Attention mechnism / Speech recognition(CTC)

2020/12/29 - [Coursera 강의/Deep Learning] - [실습] Neural Machine Translation with Attention