Канал: Shan-Hung Wu

Remarks

Remarks

Custom Hook in Detail

Custom Hook in Detail

Effect Hooks in Detail

Effect Hooks in Detail

State Hooks in Detail

State Hooks in Detail

Why Hook? Advantages

Why Hook? Advantages

Why Hook? Effect Hooks

Why Hook? Effect Hooks

Why Hook? State Hooks

Why Hook? State Hooks

Why Hook? Class vs. Function Components

Why Hook? Class vs. Function Components

Why Hook? Limitations of Class-based React

Why Hook? Limitations of Class-based React

WeatherMood Posts

WeatherMood Posts

Introduction

Introduction

Selinger-style Query Optimizer

Selinger-style Query Optimizer

Heuristic Query Optimizer

Heuristic Query Optimizer

Histogram based Cardinality Estimation

Histogram based Cardinality Estimation

Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs)

WeatherMood with StarGANs

WeatherMood with StarGANs

Unsupervised Learning and Recommendations

Unsupervised Learning and Recommendations

Types of Table Histograms

Types of Table Histograms

Naive Cardinality Estimation

Naive Cardinality Estimation

Cost Estimation

Cost Estimation

Introduction

Introduction

About Your Final Project...

About Your Final Project...

Post Toxicity Detection

Post Toxicity Detection

What is Deep Learning?

What is Deep Learning?

Supervised Learning

Supervised Learning

3 Common Types of Machine Learning

3 Common Types of Machine Learning

Posteriori Knowledge and Data

Posteriori Knowledge and Data

More Applications

More Applications

WeatherMood with Toxicity Detection

WeatherMood with Toxicity Detection

Introduction

Introduction

Single Sign On

Single Sign On

Bearer Token Auth for Stateless Sessions

Bearer Token Auth for Stateless Sessions

More Auth Schemes

More Auth Schemes

Cookies for Stateful Sessions

Cookies for Stateful Sessions

HTTP Digest Auth

HTTP Digest Auth

HTTP Basic Auth

HTTP Basic Auth

Auth Schemes & Evaluation Criteria

Auth Schemes & Evaluation Criteria

Authentication, Authorization, and Session Management

Authentication, Authorization, and Session Management

Security Risks

Security Risks

Region Semantic Preserving Image Synthesis (ACCV'18)

Region Semantic Preserving Image Synthesis (ACCV'18)

CNN Case Study

CNN Case Study

CNN Variants

CNN Variants

Pooling

Pooling

Channels and Deep Local Patterns

Channels and Deep Local Patterns

1D and 2D Convolution

1D and 2D Convolution

Why Called Convolution?

Why Called Convolution?

Introduction

Introduction

Transaction Management

Transaction Management

Query Processing

Query Processing

B-Tree Indexing

B-Tree Indexing

Hash Indexing

Hash Indexing

No overflow page?

No overflow page?

SQL & API

SQL & API

Overview

Overview

Function Approximation, Actor-Critic, and A3C

Function Approximation, Actor-Critic, and A3C

Baseline Subtraction

Baseline Subtraction

Reducing Variance

Reducing Variance

Episodic Policy Gradient & REINFORCE

Episodic Policy Gradient & REINFORCE

Policy Gradient Methods & DDPG

Policy Gradient Methods & DDPG

NoisyNet and Scalable Implementations (e.g., Google Gorila)

NoisyNet and Scalable Implementations (e.g., Google Gorila)

Dueling Network

Dueling Network

Prioritized Reply

Prioritized Reply

Double DQN

Double DQN

Deep Q-Network (DQN)

Deep Q-Network (DQN)

Introduction

Introduction

SARSA vs. Q-Learning

SARSA vs. Q-Learning

Q-Learning

Q-Learning

Exploration Strategies

Exploration Strategies

Temporal Difference Learning & SARSA

Temporal Difference Learning & SARSA

Model-Free RL based on MC Estimation

Model-Free RL based on MC Estimation

Reinforcement Learning

Reinforcement Learning

Policy Iteration

Policy Iteration

Value Iteration

Value Iteration

Markov Decision Process (MDP)

Markov Decision Process (MDP)

Introduction

Introduction

Improved WGAN

Improved WGAN

More GANs

More GANs

GAN Challenges - Global Coherence

GAN Challenges - Global Coherence

W-GAN

W-GAN

GAN Challenges - Balancing g and f

GAN Challenges - Balancing g and f

GAN Challenges - Non-convergence & Mode Collapse

GAN Challenges - Non-convergence & Mode Collapse

GANs - the Basics

GANs - the Basics

Autoencoders & Manifold Learning

Autoencoders & Manifold Learning

Predictive Learning

Predictive Learning

Intro: Manifold Learning & Data Synthesis

Intro: Manifold Learning & Data Synthesis

Intro: Predictive Learning

Intro: Predictive Learning

Intro: Factorization & Dimension Reduction

Intro: Factorization & Dimension Reduction

Intro: Clustering

Intro: Clustering

Span & Linear Dependence

Span & Linear Dependence

Norm

Norm

SVD & Pseudoinverse

SVD & Pseudoinverse

Sigularity & Positive Definiteness

Sigularity & Positive Definiteness

Eigendecomposition

Eigendecomposition

Trace & Derterminant

Trace & Derterminant

Randon Variables & Probability Distribution

Randon Variables & Probability Distribution

Multivariate & Derived Variables

Multivariate & Derived Variables

Common Probability Distributions

Common Probability Distributions

Bayes Rule & Statistics

Bayes Rule & Statistics

PCA

PCA

Newton's method

Newton's method

Constrained Optimization

Constrained Optimization

Gradient Descent

Gradient Descent

Decision Trees & Random Forests

Decision Trees & Random Forests

Optimization Problems

Optimization Problems

Optimiation in ML

Optimiation in ML

Numerical Computation

Numerical Computation

Technical Details of Random Variables

Technical Details of Random Variables

KL Divergence

KL Divergence

Information Theory

Information Theory

Common Parametrizing Functions

Common Parametrizing Functions

Linear & Polynomial Regression

Linear & Polynomial Regression

Generalizability & Regularization

Generalizability & Regularization

Learning Theory

Learning Theory

Point Estimation: Bias & Variance

Point Estimation: Bias & Variance

Decomposing Generalization Error

Decomposing Generalization Error

Duality

Duality

Linear Regression

Linear Regression

Regularization

Regularization

Probabilistic Models

Probabilistic Models

Non-Parametric Methods

Non-Parametric Methods

MAP Estimation

MAP Estimation

Logistic Regression

Logistic Regression

Bayesian Estimation

Bayesian Estimation

Kernel Trick

Kernel Trick

SVC

SVC

SVC Dual

SVC Dual

CV

Voting

Voting

How many folds?

How many folds?

NN Basics

NN Basics

Example: XOR

Example: XOR

Training

Training

ML Meets Big Data

ML Meets Big Data

SGD-based Optimization

SGD-based Optimization

Trade-Offs in Large-Scale Learning

Trade-Offs in Large-Scale Learning

When ML Meets Big Data

When ML Meets Big Data

Representation Learning

Representation Learning

Curse of Dimensionality

Curse of Dimensionality

Boosting & Bagging 1

Boosting & Bagging 1

Boosting & Bagging 2

Boosting & Bagging 2

Why AdaBoost work?

Why AdaBoost work?

Backprop

Backprop

Hidden Neuron

Hidden Neuron

Architecture

Architecture

Output Neurons

Output Neurons

NN Training

NN Training

Momentum

Momentum

Curriculum Learning

Curriculum Learning

Adaptive SGD

Adaptive SGD

Weight Decay

Weight Decay

Regularization

Regularization

Batch Normalization

Batch Normalization

Manifold Regularization & Domain Specific Models

Manifold Regularization & Domain Specific Models

Vanilla RNN

Vanilla RNN

Data Augmentation

Data Augmentation

Dropout

Dropout

BPTT

BPTT

RNN Variants

RNN Variants

Tables

Tables

Links & Attributes

Links & Attributes

Lists

Lists

Div & Span Elements

Div & Span Elements

Web Development

Web Development

How Does Internet Work?

How Does Internet Work?

HTML: Block vs. Inline Elements

HTML: Block vs. Inline Elements

Adaptive Computation

Adaptive Computation

Attention

Attention

Explicit Memory

Explicit Memory

Teacher Forcing

Teacher Forcing

Optimization Techniques

Optimization Techniques

LSTM

LSTM

Forms

Forms

Form Validation

Form Validation

Exercise

Exercise

ER & Relational Models

ER & Relational Models

Assigned Readings & Java Concurrency

Assigned Readings & Java Concurrency

SQL & Query Algebra

SQL & Query Algebra

Project: Idea Generation

Project: Idea Generation

Normal Forms

Normal Forms

Inheritance, Cascading, and Specificity

Inheritance, Cascading, and Specificity

Advanced Selectors

Advanced Selectors

Fonts

Fonts

Color & Background

Color & Background

Selectors

Selectors

Centering & Margin Collapsing

Centering & Margin Collapsing

Box Model

Box Model

CSS

CSS

Relative Metrics & Box Sizing

Relative Metrics & Box Sizing

Introduction

Introduction

Bootstrap Overview

Bootstrap Overview

Product Design: A Hack

Product Design: A Hack

MetaData

MetaData

Native Interface

Native Interface

JDBC

JDBC

RcordFile

RcordFile

Stacking Order

Stacking Order

SQL

SQL

Demo: Image Gallery

Demo: Image Gallery

Architecture Overview

Architecture Overview

Positioning

Positioning