1、神經(jīng)網(wǎng)絡(luò)和深度學(xué)習(xí)(Neural Networks and Deep Learning)

1.1 深度學(xué)習(xí)引言（Introduction to Deep Learning）

01_week1_quiz Introduction to deep learning

1.2 神經(jīng)網(wǎng)絡(luò)的編程基礎(chǔ)（Basics of Neural Network programming）

01_week2_quiz Neural Netwoek Basics
01_week2_Python Basics with numpy (optional)
01_week2_Logistic Regression with a Neural Network mindset

1.3 淺層神經(jīng)網(wǎng)絡(luò)（Shallow neural networks）

01_week3_quiz Shallow Neural Networks
Planar data classification with one hidden layer

1.4 深層神經(jīng)網(wǎng)絡(luò)（Deep neural networks）

01_week4_quiz Key concepts on Deep Neural Networks
Building your Deep Neural Network: Step by Step
Deep Neural Network for Image Classification: Application

2、改善深層神經(jīng)網(wǎng)絡(luò)：超參數(shù)調(diào)試，正則化和優(yōu)化（Improving Deep Neural Networks: Hyper parameter tuning, Regularization and Optimization）

2.1 深層學(xué)習(xí)的實(shí)踐（Practical aspects of Deep Learning）

02_week1_quiz Practical aspects of deep learning
Initialization
Regularization
Gradient Checking

2.2 優(yōu)化算法（Optimization algorithms）

02_week2_quiz Optimization algorithms
Optimization Methods

2.3 超參數(shù)調(diào)整（Hyper parameter tuning）

02_week3_quiz Hyperparameter tuning, Batch Normalization, Programming Frameworks
TensorFlow Tutorial
PyTorch 框架

3、結(jié)構(gòu)化機(jī)器學(xué)習(xí)項(xiàng)目（Structuring Machine Learning Projects）

3.1 機(jī)器學(xué)習(xí)策略（1）（ML strategy（1））

03_week1_quiz Bird recognition in the city of Peacetopia(case study)

3.2機(jī)器學(xué)習(xí)策略（2）（ML strategy（2））

03_week2_quiz Autonomous driving (case study)

4、卷積神經(jīng)網(wǎng)絡(luò)（Convolution Neural Networks）

4.1 卷積神經(jīng)網(wǎng)絡(luò)基礎(chǔ)（Foundations of Convolution Neural Networks）

04_week1_quiz The basics of ConvNets
Convolutional Neural Networks: Step by Step
Convolutional Neural Networks: Application
Convolutional Neural Networks: Application（PyTorch）

4.2 深度卷積網(wǎng)絡(luò)：實(shí)例探究（Deep convolution models: case studies）

04_week2_quiz Deep convolutional models
Keras tutorial - the Happy House
the Happy House（PyTorch）
Residual Networks
Residual Networks（PyTorch）

4.3 目標(biāo)檢測(cè)（Object detection）

04_week3_quiz Detection algorithms
Autonomous driving - Car detection

4.4 特殊應(yīng)用：人臉識(shí)別和神經(jīng)風(fēng)格轉(zhuǎn)換（Special applications: Face recognition & Neural style transfer）

04_week4_quiz Special applications: Face recognition & Neural style transfer
Face Recognition for the Happy House
Deep Learning & Art: Neural Style Transfer

5、序列模型（Sequence Models）

5.1 循環(huán)序列模型（Recurrent Neural Networks）

05_week1_quiz Recurrent Neural Networks
Building your Recurrent Neural Network - Step by Step
Character level language model - Dinosaurus land
Improvise a Jazz Solo with an LSTM Network

5.2 自然語(yǔ)言處理和詞嵌入（Natural Language Processing and Word Embedding ）

05_week2_quiz Natural Language Processing & Word Embeddings
Operations on word vectors
Emojify

5.3 序列模型和注意力機(jī)制（Sequence models & Attention mechanism）

05_week3_quiz Sequence models & Attention mechanism
Neural Machine Translation
Trigger Word Detection

總結(jié)

以上是生活随笔為你收集整理的【目录】吴恩达深度学习的全部?jī)?nèi)容，希望文章能夠幫你解決所遇到的問(wèn)題。

如果覺(jué)得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。