Deep Learning Specialization 筆記
Introduction
Lecture 1 - Neural Networks and Deep Learning
Week1 Introduction to Deep Learning
Week2 LogisticRegression as a NeuralNetwork
Week2 Python and Vectorization
Week3 Shallow Neural Network
Week4 Deep Neural Network
Lecture 2 - Improving Deep Neural Networks
Week1 DataSets, Regularize, Optimization
Lecture 3 - Structuring Machine Learning Projects
Week1: ML Strategy(1)
Lecture 4 - Convolutional Neural Networks
W1: Foundations of CNN
W2: Case studies
W2: Practical advices for using Convnets
W3: Detection Algorithms
W4: Special Applications - Face recognition & Neural style transfer
Face Recognition
Neural Style Transfer
1D and 3D Generalizations
Lecture 5 - Sequence Models
Week1: Recurrent Neural Networks
Week2: Word Embedding
Week3: Seq2seq models
一般NN with sliding window 和 RNN 的區別在哪
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W4: Special Applications - Face recognition & Neural style transfer
Week 4
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